Celebrating Women in Analytics 2023!

IAPA, Australia’s dedicated analytics association, celebrates International Women’s Day with a record-breaking spotlight on 135 women in analytics across the nation #EmbraceEquity

This year's International Women's Day theme #EmbraceEquity recognises that each person has different circumstances, and allocates the exact resources and opportunities needed to reach an equal outcome – addressing imbalanced social systems.

Additionally, in a data context embracing Data Equity means embracing a set of principles and practices to guide anyone who works with data (especially data related to people) in every step of a data project through a lens of justice, equity, and inclusivity.

In recognising women in the industry and the work they do we hope to highlight our responsibility for justice, equity and inclusivity in analytics (and analytics teams) as well as encourage those thinking of an analytics career to take the first step to becoming an analytics professional.

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The IAPA Women in Analytics Spotlight 2023

With a record-breaking number of profiles, we've segmented the profiles into broad industry groups and then listed in alphabetic order by last name. 

Spend some time reading about the many amazing women in all verticals, and across roles from graduate to analytics leader. Click on a name to understand each person's role, proudest moment,  greatest challenges and advice for women thinking of a future in analytics.

Agencies & Consulting
Click on a name to understand each person's role, proudest moment, greatest challenges and advice for women thinking of a future in analytics.
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Kristi Barrow

Principal Consultant, Kritikality

In a normal day, what kinds of data / analytics activities are you involved in?

Anything from debugging a digital analytics implementations to migrating a client tags from Google UA to GA4, wrestling with Facebook CAPI, to writing a training course on the Adobe Report Builder Excel Plugin.  I work predominantly at home but I enjoy the days I get to go into my clients' offices.  

My goal with clients is always to leave them in a better position than when I started, so I am constantly looking for ways to scale, gain efficiencies and educate.

I do a small amount of volunteer work, so some early mornings or late nights involve writing blog posts or creating social media content, or mucking around with GA4 implementations!

What are the biggest challenges you face?

Currently there is so much work around it's hard to say no!  Personally, I'm trying to focus on my competitive advantage in the market and do excellent work for my clients.

What would be the proudest or most enjoyable moment in your analytics career?

Analytics has taken me all over the world and into many different industries! I've given training courses in Las Vegas, attended company offsites in Paris and visited Disneyland in Hong Kong.

I've worked in many different industries including Financial Services, Travel, Retail, Media and Sport.

My volunteer work took me to Tallinn, Estonia last December to discuss the future of communications to the Estonian Diaspora.

So I'd have to say I've enjoyed about 93% of my career so far!

What advice would you give to a woman wanting to get into the analytics industry?

Do stuff in your spare time. If you are not enjoying that, you will not enjoy making a career out of it!

Get started with the numerous free data sets available and develop some visualizations, build a website and install Google analytics, or take a SQL course.  Most of these things can be done for free or with very little money. 

Then look for a role in an industry that interest you!  Like Sport? Try the AFL or Cricket Australia.  Love to travel, there's Expedia or Tourism Australia.  Fashionista? Consider PVH or The Iconic

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I find that there is more and more data around, but not more intelligence on how to interpret or use it.  I'm excited about the future, where data is used for good across all aspects of our lives.

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Swapnal Bauskar

Managing Consultant, Altis Consulting

In a normal day, what kinds of data / analytics activities are you involved in?

Data Engineering like working on pipelines to load data into warehouse. Power BI dashboards. Business Transformation/ Business rules. Data Modelling.

What are the biggest challenges you face?

Data Literacy amongst businesses. Poor quality of data. Pressure from top and tight deadlines as it appears very simple change to business :)

What would be the proudest or most enjoyable moment in your analytics career?

On fixing a major issue in prod under tight timelines, my manager said: We couldn't have done it without you.

What advice would you give to a woman wanting to get into the analytics industry?

If you like dealing with data then get in as soon as you can. It is an exciting and joyful ride.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

As we now say "Data is new oil/gold". There will be plenty on new opportunities, vast and interesting data and different methods to read, consume and showcase that data.

Organisations have been moving to become data-driven at a much faster rate now. Data Analytics has become a necessity for business.

Real-time trends, and smarter forecasting, there are so many stories which we can tell.

AI/ML - I believe is going to go a long way and will be making our lives a lot easier.

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Danica Bellchambers

Director of Analytics, CHEP Network

In a normal day, what kinds of data / analytics activities are you involved in?

As the Director of analytics, heading up the data science team, my day-to-day work is divided into three main areas: delivery, leadership, and innovation. In the delivery aspect of my role, I focus on providing machine learning and advanced analytics to clients in new and creative ways. This involves client discovery sessions, automation, machine learning models, and applications of AI. I collaborate with all divisions to embed analytics in various decision areas, including Market Mix Models for predictive and forward-looking media buying and cognitive science for research. Leadership is another key area of my role, where I lead my team to deliver on similar projects, provide support and guidance, and encourage autonomy and growth. I also invest significant time in promoting data literacy throughout the agency, offering individual training sessions and team wide learning sessions to the broader departments. I also spearhead a data science internship program for current university students teaching them the fundamentals of data science and exposing them to real world applications of their studies. Lastly, I focus on innovation, immersing myself in the industry and leveraging key advancements in the field to deliver unique product offerings to our clients. I conduct research, attend brain trusts and bring back best-in-class thinking to the agency. Every day, I challenge the status quo, asking how we can improve as a team, agency, and industry.

What are the biggest challenges you face?

Each day presents its own unique challenges, both personally and professionally. One of the most significant challenges I face in my professional life is keeping pace with the rapid and expansive changes in the analytics space. While it's incredibly exciting to be a part of such an innovative era, it can also be overwhelming. The phrase "staying ahead of the curve" now carries a whole new meaning. Clients, too, face similar challenges, as they are inundated with out-of-the-box solutions available in the market at a competitively low cost, which pose a threat to our bespoke offerings. It is an ongoing effort to help clients understand the benefits and limitations of both solutions and remain relevant in an ever-more autonomous field. One of the challenges I encounter with my team is how these developments affect their learning abilities. With some studies focusing on the production of analytics, such as Python packages, rather than the fundamentals, new graduates enter the workforce with more technical skills and fewer soft skills. Understanding how to run a model is one thing, but possessing the ability to comprehend what it conveys, why it does so, and how to add value for clients is a critical human quality that we must nurture. On a personal level, I challenge myself daily to learn and grow. Staying abreast of the latest trends and developments in my field and academic pursuits is essential to success. I recognize the significance of possessing the skills and abilities necessary to support my team fully. Additionally, in my industry, advertising, having a strong voice is imperative. Thus, I make it a personal challenge to voice my ideas, even when they differ from the norm, to ensure that my contributions are heard and valued.

What would be the proudest or most enjoyable moment in your analytics career?

I recently proposed and fought hard to set up an internship program at my organisation providing valuable hands-on experience to students. I attribute a lot of my success to the incredible men and women who mentored me throughout my career and gave me valuable learning experiences. In recognition of how I got to where I am, I wanted to do the same for the next generation and worked with our HR department to trial a university placement program. Knowing that I have played some small part in the growth of the next generation of analysts and data scientists makes me incredibly proud.

What advice would you give to a woman wanting to get into the analytics industry?

Analytics requires both knowledge and creativity. While technical skills are essential, the ability to find innovative ways to apply those skills is equally important. The most valuable analytics is built on a foundation of imagination. While analytics was once a male-dominated field, this is changing rapidly. The influx of women into the field has brought new perspectives and approaches, as these women are proud to embrace who they are. They speak up and challenge the status quo, knowing that every step they take forward paves the way for others like them. With that in mind, my advice to women wanting to get into the analytics field is this: be brave, be creative, stand up for what you believe in and always bring your unique self to every situation. Technical skills can be learnt, creativity is all you!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Recent advances in the analytics field have been particularly intriguing, with a strong focus on the use of analytics for social good. The innovative applications of analytics in healthcare, education, sustainability, and social justice are just a few examples of how analytics is making a significant difference in the world. As a passionate advocate for positive change, I am excited to see how these advances will continue to evolve and lead to new and exciting ways in which the industry can make a positive impact on our future.

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Manjusha Bhakta

Director - Data and Analytics, EY Consulting

In a normal day, what kinds of data / analytics activities are you involved in?

My two days are never the same. One day I may be responding to a data transformation RFQ. Another day I may be creating a POV for some latest analytics trends. Some days I may be managing the delivery of a complex data platform. One thing I surely do every day is to learn and grow.

What are the biggest challenges you face?

Organizations invest in the tools and technologies, but not enough investments in money, effort and time are made to educate the teams who are the ultimate users and beneficiaries.

What advice would you give to a woman wanting to get into the analytics industry?

I, too, entered this field a bit hesitantly. But if you want to make a real difference with your work to the organizations, communities and people, then data and analytics is the one you should be in.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Generating AI is making a lot of buzz these days. With ChatGPT now it has reached general people. The whole AI is at its infancy stage still, and it has a long way to go to make real-life impacts. This area is interesting to watch and stay in touch

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Linda Byun

Director, Strategy + Analytics, M&B

In a normal day, what kinds of data / analytics activities are you involved in?

My day is varied from shaping the data-driven transformation agenda for our clients to leading and supporting business outcome-led projects where we are applying data and analytics.

Interestingly, more and more the needs for organisations are in driving collaboration and alignment across the business to create lasting change, and this is consistent regardless whether the activity is strategy or implementation focused.

I think most of my day is spent listening, thinking, responding and mitigating business problems, where alignment of people, process and analytics play a central role to arriving at the solution.

What are the biggest challenges you face?

Although data and analytics are no longer new or shiny, we still have a long way to go in having a common understanding as an industry of what that capability looks like and the potential it holds. The order and sequence of the approach may differ for an organisation, but the big picture still needs to hold together to create harmony, but I often encounter discord resulting in a lot of time spent undoing and redoing.

Having said that, I think these challenges are also opportunities as the industry grows and matures as they result in learnings that help us to improve and become better each day. These experiences I believe make our work challenging but also meaningful and fun.

What would be the proudest or most enjoyable moment in your analytics career?

The most enjoyable moments in my analytics career are meeting and working together with people who are like-minded, passionate and excited about the work we are doing.

The proudest moments of my career have been working within these teams, and when we have achieved great things together as a result.

Some examples that come to mind are some of my milestones - learning and growing together as a team, viewing customers in a way we had never before through data and analytics for a financial services company; launching a new offering for a software company working with a great and diverse team; and last but not least launching a consultancy business with my business partner during COVID-19 lockdowns.

What advice would you give to a woman wanting to get into the analytics industry?

Regardless of what gender you are, I believe embracing the opportunities, whether they are large or small, help us to build experiences that become unique to us. Some opportunities may seem irrelevant and a step away from your goals, but don't pass these up, as they can shape your skills and your relevancy in the market in a way you have never imagined.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I am interested to understand how the debate on people vs technology vs ethics will play out in the future, and what that optimal solution would look like. Technology has come far, and the possibilities are endless. How we strike the right balance to govern but also leverage these in a way that drives outcomes that benefit society - I believe there is still some way to go there and am excited to be a witness but also a participant of that journey.

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Wenjuan Chen

Data Scientist, Data Science People Leader, Capgemini

In a normal day, what kinds of data / analytics activities are you involved in?

Data modeling, data analytics, feature engineering, data visualization

What are the biggest challenges you face?

My main challenge is the adoption of innovative technologies in a large corporate system that operates at a slower pace and requires significant time to implement changes. Therefore a lot of the times I cannot use the cutting-edge technologies.

What would be the proudest or most enjoyable moment in your analytics career?

Assembling a team and accomplishing initiatives that have never been attempted before in an organization.

What advice would you give to a woman wanting to get into the analytics industry?

Have confidence in yourself, seek assistance when needed, be patient with your progress, and most importantly, enjoy what you do!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

GPT, NLP, computer vision

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Azucena Coronel

APAC Data Science Lead, Interworks

In a normal day, what kinds of data / analytics activities are you involved in?

As a consultant, the activities and kind of data I am involved with can be very varied. 

On a single day I can be working designing the architecture of a data solution, creating data pipelines with different sources such as databases and API endpoints, contributing to the enablement of other people in my client's teams around data science initiatives, analysing data integrity within an analytics system; and many other activities.

The kind of data is also very varied from structured typical database data, to unstructured or semi-structured data. I have worked across different verticals, so I've been in touch with insurance data, sports and entertainment, retail, digital analytics.

As you can see, variety is probably the only thing typical about my role.

What are the biggest challenges you face?

The fast pace at which technologies advance is a challenge, but also it is what keeps the job interesting. Learning the new capabilities of the tools in order to better help my clients is crucial, hence I try to keep up with the advancements and new offerings to solve different problems.

What would be the proudest or most enjoyable moment in your analytics career?

Last January, we got together for a regional company summit. During this week together, we took a picture of the whole group and I just then realised that the ratio of women / men at Interworks in Australia was about 50% !!!!

From being the first woman hired in Australia 3 years ago, and the first one in a data engineering role worldwide; it was such a heart warming, happy and proud moment to see what a diverse group we have built.

What advice would you give to a woman wanting to get into the analytics industry?

Try different things, working in analytics can be so varied...from being a data engineer building data pipelines and making sure about the integrity of data; to building beautiful dashboards that effectively help the business users understand the data better. Don't be afraid to ask questions, and to try things.

Also find a group where you feel comfortable to ask the tough questions, and where you can potentially meet people that can become your mentors. Now a days there are so many different groups, a couple of them in which I am involved are: DataWomen https://interworks.com/data-women/ and Ada's Tribe https://adastribe.org/ 

People are generally keen to give advice and support, so just ask what you need!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I am constantly thinking about two trends that I'm seeing and hearing about more and more, across the different industries and with the different people I get to talk to.

The first one is the rise of the everyday AI, this means that artificial intelligence and machine learning are becoming something within reach for everyone. With tools such as Dataiku and helpful auto ML capabilities, citizen data scientists can easily start experimenting with AI and ML to bring value to the business. You can now start small, try some things, see where there is value, allow the business to use your models and grow from there iteratively. 

The second trend I'm seeing is self-service analytics. We are living in an era where everything is fast paced, and you can't wait for IT departments to produce new analysis and reports; business analysts need to be enabled with the capabilities to support their own analysis and answer their own questions without much lead time waiting for other people putting together reports. Being able to self-serve their analytics needs is crucial, and we are at a great time to allow this with so many tech options.

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Sarah Crooke

Director, Meliorum

In a normal day, what kinds of data / analytics activities are you involved in?

These days mostly GA4 migrations, but on a good day I get to help clients improve their websites through analysis and A/B testing as well.

What are the biggest challenges you face?

Navigating the tight rope between making sure to respect users privacy while still being able to provide quality data to improve website usability. 

What would be the proudest or most enjoyable moment in your analytics career?

Being able to go out on my own consultanting and getting to travel the world while still working.

What advice would you give to a woman wanting to get into the analytics industry?

Teach yourself as much as you can, put analytics on a website, or get your hands on lots of free data sources. There are plenty of guides out there and showing that you have taken the time to teach yourself goes a long way. 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Zero party data, or people opting to give data for companies to provide something in return. People are becoming more savvy in knowing their data is valuable and won't give it away for free much longer.

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Theresa Dirndorfer Anderson

Director & Social Informaticist, Connecting Stones Consulting

In a normal day, what kinds of data / analytics activities are you involved in?

My work focuses on the ethics of data and AI and finding ways to 'make the invisible visible' in data. I do this by helping analytics professionals and decision-makers become more aware of bias in data, beginning with the way data is made through to the way data is organised, analysed and discussed. On any given day I might be designing training materials, evaluating existing practices in an organisation, contributing to international standards on data use and trustworthiness, speaking to an organisation or community group or writing a manuscript.

What are the biggest challenges you face?

The biggest hurdle is making people aware of how easy it can be for people and ideas to go missing, misrepresented, or underrepresented in data that is being collected or organised. With so much focus on AI technologies, for instance, often the essentials of good data governance --irrespective of technologies in use -- sometimes are underappreciated. Once that hurdle is overcome, however, there is great appetite for learning how to mitigate such bias and maintain vigilance for future situations.

What would be the proudest or most enjoyable moment in your analytics career?

One of the proudest moments for me as a data science educator was making changes to the admissions process of the program I ran to address existing biases in recruitment. I still see the impact of that effort in the graduates from that program -- women and men -- now excelling in the profession and continuing to break cycles of disadvantage in their work.

It's also been a great honour to be invited to sit on the inaugural NSW Government AI Review Committee and the Advisory Board of an NSF-funded smart city program, where my expertise helps uphold ethically minded approaches to their work with community data.

Enjoyable moments: being part of a 'eureka moment' when a client or member of a community group recognises the impact of making the invisible visible in data practice. It is a wonderful feeling when they share with me how their own work is transformed through that greater awareness of ways people and ideas might be going missing, misrepresented or underrepresented in their own context.

What advice would you give to a woman wanting to get into the analytics industry?

Dive in, find a mentor and be open to learning and improving. Don't worry that you don't have enough stats or computer skill. The analytics industry is as much about people and communication skills as it is about technical skills.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Human-centred approaches are becoming much more the norm, rather than the exception. Recent data breaches are also showing how important it is to take a human-centred approach, which I see as further evidence of the need for open-minded, well-rounded analytics professionals who have skills related both to the social as well as technical aspects of the profession.

There is a growing appreciation for the social, communicative and creative skills that enable sufficient understanding of the context within which analytics work is performed. Taking this holistic, creative/analytic approach is how we will #breakthebias

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Erin Evans

Co-Founder | Director, Intelligen

In a normal day, what kinds of data / analytics activities are you involved in?

As the director of the business, I am involved in a variety of roles across the Data & Analytics consulting business including roles directly associated with D&A. I am one of the direct points of contact on new client engagements and work to understand current state architecture and work through our 'data strategy in a box' methodology with the team to produce a gap analysis and future state architecture recommendations and projections. These are all with a lense of ensuring our partner clients are empowered with best-in-class data and analytics solutions pushing as far into the realms of AI & ML once their platforms are scalable. I am then involved across the client engagement and implementation lifecycle, ensuring the correct SASS partners are recommended, the technical team is assigned and delivering to project timeframes and the highest value use cases are being realised through delivery.

What are the biggest challenges you face?

The biggest challenges I face are often around time management and balancing the many roles I have; not only within my business life but as a mother as well. Not only am I responsible for scaling a business in a sustainable, innovative and internally empowering way, but I am also actively involved on client site, managing my team, scale initiatives, financial management, project management and of course externally facing PR and marketing. The moment I close my laptop I am dashing to school pick up and ensuring I am present with my family before logging on later after bedtime. Aside from the challenges associated with managing the balance, one of the biggest challenges I face is an internal battle. For years, I've struggled with imposter syndrome as a woman building a consultancy in a male-dominated environment. As I've risen into more technical domains, it has only become more apparent and my conscious awareness has risen in response. The way I choose to combat this is with an active awareness and gratitude for stretching myself outside my comfort zone regularly and ensuring I am double (if not triple) prepared and educated to handle the challenges that come my way. Having the confidence to know I am prepared, definitely helps and I believe propels me to excel - there is never a level of complacency. I choose to harness it for good.

What would be the proudest or most enjoyable moment in your analytics career?

There have been so many proud and enjoyable moments across my analytics career however my most proud moment was probably also my most terrifying moment. It was the moment I finally publicly launched our Go to Market Strategy and company brand for Intelligen and officially put our name out there and our hat in the ring. We were up against many global vendors on a number of large client bids and very quickly realised a stream of winning tenders. Having operated 'in the shadows' with a select group of clients for a few years, I couldn't have been more proud to finally launch our name to the market and to be seeing our team out on multiple client sites, delivering real-world, meaningful impacts across some very large names. It was surreal and continues to be. Every day I wake up so grateful for getting to do what I do and for being invigorated to push the boundaries even further.

What advice would you give to a woman wanting to get into the analytics industry?

I am incredibly passionate about this. We are huge advocates of encouraging women into STEM across both FIRESOFT People and Intelligen (the FIRESOFT Group of companies I have co-founded). The analytics domain is absolutely ripe for women at the moment. There are huge call-outs for balancing gender ratios across organisations and finally clear awareness and intention to close the gender pay gap; and address the multi-factional challenges associated. There is a diverse variety of roles available in D&A from purely functional analysis roles all the way through to C-level positions. Data and Analytics has really been elevated to the forefront of corporations; the lifeblood of every organisation. My advice to a woman wanting to get into the analytics industry would be to decide on which stream - technical or funcational - and then as a necessity, complete the relevant qualifications or training. From there, get involved in associations, networks and expose yourself to as many different 'flavours' of D&A as possible, across as many different domains and industries as possible. The key is to find an industry or job vertical where they find true passion and then expand upon that!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

It's no secret that the analytics landscape across Australia is a good few years behind the rest of the developed world. We are lucky in a way - I often joke about having a crystal ball in looking across the pond. Whilst I believe there is still so much work to be done to elevate the baseline standards towards a 'modern data platform' across the average organisation, the front runners in the industry have demonstrated some incredibly exciting progression in the fields of AI & ML. Having been lucky enough to be part of some of these key transformations over the past few years, we have seen what is possible - and beyond. Whilst I am passionate about contributing to a national uplift of data capability and data democratisation across Australia, I am really excited to start seeing those optimised data platforms being utilised in ways to further extract value for organisations and push what now might seem impossible into the realms of the possible...!

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Paula Hollander

Senior Manager, Capgemini

In a normal day, what kinds of data / analytics activities are you involved in?

Building data pipelines, profiling data, querying databases, and other data engineering activities in Microsoft Azure.

What are the biggest challenges you face?

Stakeholder management.

What would be the proudest or most enjoyable moment in your analytics career?

Attaining a Master of Data Science from UNSW.

What advice would you give to a woman wanting to get into the analytics industry?

Be open to constantly learning new things.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Finding out what Artificial Intelligence can do for us.

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Jessica Karanfilovski

Marketing Manager, Intelligen

In a normal day, what kinds of data / analytics activities are you involved in?

As a marketing manager at a data consultancy, my role with data and analytics is varied:

  • Analysing customer data to identify trends and insights that inform marketing strategies
  • Developing and managing marketing campaigns based on data-driven insights
  • Creating and managing dashboards or reports to track and measure marketing performance 
  • Conducting market research and analysing data to inform market segmentation, targeting, and positioning strategies.

What are the biggest challenges you face?

Keeping up with the latest trends and technologies in the rapidly evolving analytics industry

What would be the proudest or most enjoyable moment in your analytics career?

Seeing the impact of my analytics work in real-world outcomes. Great things happen when you make data-driven decisions!

What advice would you give to a woman wanting to get into the analytics industry?

  • Pursue formal education or training to develop strong foundational skills 
  • Seek out mentors or role models in the industry who can provide guidance and support
  • Build a strong network by attending industry events, participating in online forums or social media groups, and connecting with other professionals in the field
  • Most of all, have some fun throughout the process!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The future of analytics is an exciting and rapidly evolving field. I believe these to be the most relevant: 

  • The continued growth of artificial intelligence and machine learning, which will enable more advanced and sophisticated analytics capabilities
  • The increasing importance of data ethics and privacy, as organisations collect and use more personal data
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Carmen Lee

Director, Forensic Data Analytics, KPMG

In a normal day, what kinds of data / analytics activities are you involved in?

I lead a team of data analysts who come in to when things aren't going as expected. We work collaboratively with our clients to establish the basis for truth when the data is inconsistent, does not exist or is in a fairly messy state. Our mission is to use data to help our clients correct historical issues, with my particular expertise being on wage compliance / payroll underpayment matters.

What are the biggest challenges you face?

Balancing time spent between being across the technical analytics and coding vs time allocated to helping people grow.

What would be the proudest or most enjoyable moment in your analytics career?

I've had the privilege of being able to work with some of the best people in Australia to solve tough challenges. I enjoy being able to help my clients navigate pragmatically through complex territory by bringing in a mix of technical and business knowledge.

What advice would you give to a woman wanting to get into the analytics industry?

A technical degree isn't necessary for a lot of analytics roles. What's most important is intellectual curiosity, attention to detail, structured thinking and problem solving skills. Also, learn SQL :)

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I believe in the coming years, data analytics will become as pervasive as Excel is to organisations these days. Graduates will come out of universities with basic skills in SQL or Python, ready to apply this to a business domain area. As data analysts, we need to embrace this and think about organisational systems and structures which will better facilitate end user analytics with sufficient controls in place.

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Caroline Lim

Senior BI Consultant, Novon

In a normal day, what kinds of data / analytics activities are you involved in?

I worked with ASX Top 50 companies to develop end to end solutions to drive analytics throughout their organisation.

What are the biggest challenges you face?

Data analytics is a living product that changes and grows everyday. It is a constant juggling act to manage between requirement changes and product deliveries so as to maximise the potential and value of the data analytics solution. 

What would be the proudest or most enjoyable moment in your analytics career?

Not everybody can see through the same lenses in the world of analytics. My most enjoyable moment is to be able to create a product that is easily readable and tells the story simply. I don’t often get to pull it off but when I do, it’s like creating a best selling broadway show. The audiences gets engaged and excited. I feel proud hearing praises on the streets.

What advice would you give to a woman wanting to get into the analytics industry?

Don’t be afraid to learn and re-learn. If you are having trouble or is clueless, ask for help. Reach out in your community and also outside your community. 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The wide adoption of Artificial General Intelligence (AGI) in analytics. I imagine it is a world where we shaped the data so that AGI can understand and curates analytical stories based on prompts given by human. It will certainly makes discovery faster.

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Maddison Lukes

Data Scientist, CHEP Network

In a normal day, what kinds of data / analytics activities are you involved in?

I relish the breadth of my job as a Data Scientist in the advertising industry because it fuels my curiosity. I get to analyse a wide range of data sources, including digital media, proprietary research studies and website traffic. In a typical day I collaborate with stakeholders to develop models, analyse customer profiles and implement business intelligence solutions. I could be knee deep in Python code one morning and reporting on the performance of a marketing campaign the next.

What are the biggest challenges you face?

The biggest challenge I faced in the past was choosing my career path. I never saw myself working in data when I applied for my undergraduate degree. Data, tech and analytics were typically not areas associated with women. Males outnumbered females in all of my statistics classes at university. I've since made it my mission to help mentor university students in order to make the world of data and analytics more visible and approachable to girls in school and university.

What would be the proudest or most enjoyable moment in your analytics career?

I currently work in an all-female data science team, that's pretty cool.

What advice would you give to a woman wanting to get into the analytics industry?

Never be afraid to explore anything that piques your interest, even if that means venturing into a completely new industry. Data analytics is a world full of creative and curious minds - you might just love it. If you never try you never know.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Data science is an ever-evolving field, and as technology advances, so do the platforms and tools we utilise. Data applications are becoming more widely available, and as we transition to the future of no-code, I am curious to see how organisations will integrate data into their product offerings. The Netflix recommendation engine was only the beginning. The fact that businesses are fostering strong data cultures excites me as well because data shouldn't be intimidating.

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Monica Ly

Co-founder, EdgeRed

In a normal day, what kinds of data / analytics activities are you involved in?

My typical day at EdgeRed encompasses a wide range of responsibilities related to client projects, including leading and managing a project team, engaging with client / external stakeholders etc, driving analytics outcomes as well as team management and mentoring of our data talent. The objective of our projects is to help our clients make better and faster decisions with their data. Our deliverables span from strategy recommendations, data governance framework, customer loyalty and segmentation analysis, as well as data visualisation.

What are the biggest challenges you face?

In the initial stages of our business, the primary challenge we faced was establishing ourselves in the market, while competing against established consulting firms. It also required significant effort and time for us to recruit top talent, which was instrumental in building our business to its current state. The COVID-19 pandemic presented another significant challenge, with the sudden transition to WFH we had to adapt to new ways of working whilst maintaining a strong team culture. Despite these challenges, we persevered and have successfully built a strong foundation that positions us for continued growth and success.

What would be the proudest or most enjoyable moment in your analytics career?

It's been a wonderful experience to share my passion with a community of like-minded individuals in the tech industry and meeting some of my closest lifelong friends throughout my analytics career. I am also very proud to have witnessed the growth of EdgeRed from a team of two to an amazing team of 30 in just a few short years.

What advice would you give to a woman wanting to get into the analytics industry?

Women are often underrepresented in the technical field, so it's important to be confident in your abilities and assertive in advocating for yourself and your ideas. Develop your technical skills and showcase them by building a portfolio of projects highlighting your skills and achievements. Network by connecting with other professionals in the field and learn about the latest trends and advancements. Remember, women have a valuable perspective to offer in the analytics industry, and your unique skills and insights can help drive innovation and success in this field.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The future of analytics has immense potential to bring positive change to the world, but it also comes with significant responsibility. As the amount of data being generated continues to grow, analytics professionals have a unique opportunity to use this data to solve some of the world's most pressing problems. This includes helping businesses make more informed decisions that are based on evidence rather than intuition which can lead to more efficient use of resources and better outcomes for individuals and the society. For example, analytics can help revolutionize the healthcare system by identifying patterns and trends in patient data, leading to more accurate diagnoses and better treatment plans. Analytics can also be used to analyse data related to energy usage, carbon emissions, and other environmental factors to help organisations make more environmentally sustainable decisions.

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Poorva Maheshwari

Senior Manager, EY

In a normal day, what kinds of data / analytics activities are you involved in?

Data Strategy & Implementation 

Descriptive data analytics 

Business improvement 

Data transformation journeys 

Business capability assessment

Data impact assessment

Data Governance 

What are the biggest challenges you face?

Data security and understanding of what protocols need to be in place before implementing a large transformation program. 

Continuous improvement in customer experience and personalisation 

Being able to deliver value fast in a large and complex organisation 

Being able to bring siloed business segments together and get them to agree on a common vision 

Being able to change the way people are used to doing things for a number of years

What would be the proudest or most enjoyable moment in your analytics career?

When I saw the outcomes of a large transformation program that I was working on for a leading insurance provider in Australia. Was able to see millions of dollars of benefits coming out of the work we had produced. Was able to see how it had changed the day to day life of Claims operations team/Customer experience team and that was quite rewarding 

What advice would you give to a woman wanting to get into the analytics industry?

Take that first step and seize the opportunity, say yes to being challenged and learn that new skill. 

Stay curious and focused

Stay determined and raise your opinions 

Challenge others and their thinking 

Believe that you are capable and have the growth mindset 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

We are heading into a world where everything will need to happen real-time or otherwise it is just not good enough! 

We are heading to a more self-service kind of a model where businesses can access the data they want and make decisions quicker than ever. 

There will be continuous innovation and as a result of that it would become crucial to keep learning new skills and keep growing for anyone who wants to stay in the Data Analytics industry. 

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Ruth Marshall

Director, Hocone Pty ltd

In a normal day, what kinds of data / analytics activities are you involved in?

Leading a practice in consulting and education on the responsible use of data and developing frameworks for human-centred and ethical data practices.

Also a senior member of Hocone’s analytics staff, delivering data analytics and visualisation solutions to customers.

Also a technical expert for Australia on the international standard for Data Usage - ISO/IEC JTC1/SC32/WG6 standards 5212 and 5207.

What are the biggest challenges you face?

On the responsible use of data - getting a recognition that (I) technocratic solutions on their own will not work and (II) that the process starts at the beginning of the data lifecycle and continues all the way through.

What would be the proudest or most enjoyable moment in your analytics career?

Many proud moments. Most recently, working with Mike minded practitioners in NSW Government, standards bodies and academia to lift Australia’s understanding of and competency in ethical data use.

Just before that - completion of a three-year CRC-P project on a privacy preserving and ethical learning analytics framework, collaborating with researchers at CSIRO’s Data61, University of South Australia, and industry partners. The outcome of this was a practical and implemented framework, incorporating privacy risk measurement and reduction tools and accompanying ethical data management procedures. Published in British Journal of Education Technology last year.

What advice would you give to a woman wanting to get into the analytics industry?

Make sure you have a passion for the work, and cultivate contacts in the area you’d like to work in. If you’re not in the industry yet, you could think of engaging in some citizen science work to build your resume (and maybe make a difference in the process).

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Ethics and AI are two obvious areas - I am particularly watching the development of social linked data (solid) and similar, and the implications this could have on data sovereignty and individual rights, also developing approaches to analytics transparency (be it AI or other).

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Aina Musaeva

Data Scientist, Data and Cloud, KPMG

In a normal day, what kinds of data / analytics activities are you involved in?

Technical delivery of analytics solutions to state and federal government organisations.


What are the biggest challenges you face?

The adoption of data-driven practices by state and federal government organisations is quite slow and fragmented.

What would be the proudest or most enjoyable moment in your analytics career?

Empowering other women to pursue careers in  data analytics and watching them grow into incredible and successful professionals.

What advice would you give to a woman wanting to get into the analytics industry?

Fall in love with analytics first by educating yourself about it (so many resources online), choose the area you are passionate about and surround yourself with a support network you can lean on while you grow professionally.


In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Reaching the state when making decisions without data is no longer an accepted business practice.

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Angela Naaykens

Head of Media & Analytics, The Brand Agency

In a normal day, what kinds of data / analytics activities are you involved in?

The range of data we work with has increased exponentially over recent years.  From audience segmentation modelling and touchpoint mapping using 3rd party data sources, to media performance data collection and analysis, to working with clients to safely leverage their 1st party data.  The number of data sources and applications continues to grow, bringing new challenges and new opportunities for myself and the talented team I work with.

What are the biggest challenges you face?

With increasing data sources comes increasing choice.  While this is having a holistically positive impact on outcomes, the increasing resource allocation to workflow in the early phase project planning is a challenge.  Especially in a tight economic market where margins for both agencies and our clients are under increasing pressure.

The second challenge area is managing both ethical and legislative considerations with regards to data utilisation.  As technology powering data (especially AI) changes so rapidly, we are all faced with a constantly evolving conversation centred around what we can legally do and what we should do.  Modelling out impact beyond our immediate requirements is becoming a larger concern when we plan for data application.  More frequently we find ourselves asking these two questions.  Firstly, just because we can (legally and technically), should we?  And the supporting question when we reflect on the human impact, would I want my data used like that?

What would be the proudest or most enjoyable moment in your analytics career?

I've been incredibly fortunate to build a business unit with high autonomy to shape our product and service delivery alongside our clients and the changing media landscape.  This has enabled us to lean into analytics as a core pillar of media strategy, while still retaining the right balance of human centred design.  I'm incredibly proud of the people and clients who have embraced new ways of working, especially our creative colleges, both in house at the external creative agencies we work with.  Some of my most enjoyable moments are when Art Directors and Copywriters come asking for data to fuel their creative process.  They are embracing a new future of creativity that will drive our business forward, foster collaboration and deliver exceptional outcomes for our clients.

What advice would you give to a woman wanting to get into the analytics industry?

The term analytics can be incredibly daunting and feed into the imposter syndrome mentality that haunts many professional women.  I vividly recall when my job title was changed to include the word 'Analytics'.  I felt like a fraud.  From my perspective, I wasn't a qualified analyst, as I'd always worked in the media industry.  However upon reflection, I realised I have spent an entire career working with data.  Challenging how we use it, and creating new ways to make it more valuable for our clients.   

Over the last 10 years I've built a team with technical data skills that surpass my own and this empowers us to do more with that data that I'd ever dreamed of.  

My advice to women (or anyone) wanting to get into analytics is don't think that just because you don't have a specific analytics or data qualification you aren't qualified to have a seat at the table.  There are so many resources available for curious people who want to challenge data utilisation and mobilisation in their own categories.  The industry bodies are a great place to connect with like minded individuals and build confidence in your own abilities.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think we're at a tipping point where privacy, AI and challenging economic conditions are on a collision course.  The next few years will be pivotal to the future of not just analytics, but the role data plays in all of our daily lives professionally and personally.  

I'm excited to be part of a business supported by a global network that leans into these challenges, and asks the hard questions.  Whether it be using analytics processes to measure climate impact of traded media, or using AI to streamline previously manual processes and unlock more time for our people, there are so many interesting applications across the media and communications industry. I can be assured the future will present a new challenges and opportunities, which keep it both interesting and exciting to come to work each day.

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Aruna Pattam

Head - AI, Analytics and Data Science, Capgemini

In a normal day, what kinds of data / analytics activities are you involved in?

As Head of AI, Analytics & Data Science, my days are always varied. From working with stakeholders and clients to monitoring AI & Data Science usage, my work is diverse and dynamic. I develop new methods and algorithms and keep up-to-date on research and trends, attending conferences to stay ahead of the curve. Evangelising AI & Data Science and engaging with external communities are also crucial aspects of my role. Managing external relationships is also essential. It's an exciting field with ever-changing challenges and opportunities, keeping me constantly learning and growing.

What are the biggest challenges you face?

Biggest challenge and also an opportunity is keeping up-to-date with the rapid evolution of AI technology. This requires a commitment to continuous learning and investment in training and development. Additionally, staying ahead in terms of innovation and thought leadership in the field is crucial. It's important to balance the need for innovation with the need for practical, cost-effective solutions that deliver real value to clients. Also, managing the ethical and regulatory implications of AI and data science projects is an ongoing challenge that requires careful consideration and planning.

What would be the proudest or most enjoyable moment in your analytics career?

I'm proud to be named to the 100 Brilliant Women in AI Ethics list for 2023, LinkedIn Top Voice in Technology for 2022, and World Top 200 Business and Technology Innovators. Being able to mentor and inspire other women in the field is equally rewarding. These accomplishments remind me of the impact that AI and analytics can have on the world and the importance of pushing boundaries.

What advice would you give to a woman wanting to get into the analytics industry?

My advice would be to pursue your passion and never stop learning. Seek out opportunities to gain experience, whether it's through internships, volunteer work, or personal projects. Connect with other women in the field and seek out mentorship and support. Don't be afraid to ask questions and be curious. Finally, believe in yourself and your abilities, and don't let anyone tell you that you can't succeed. The world needs more women in analytics, and you can be one of them!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Responsible AI will become increasingly important. It is essential that we consider the ethical implications of our work and ensure that AI systems are developed and implemented in ways that are fair, transparent, and accountable. This will require collaboration across diverse teams and the development of new tools and techniques for evaluating and mitigating potential risks. By prioritising responsible AI, we can help to build a future where analytics technologies are used to drive positive social and economic outcomes.

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Priya Raghuveer

Senior Consultant, Merkle

In a normal day, what kinds of data / analytics activities are you involved in?

Providing stakeholders the best possible insights and stories through Tableau Dashboards, Alteryx, Snowflake, SQL

What are the biggest challenges you face?

Teammates who try to micromanage me and my work! 

What would be the proudest or most enjoyable moment in your analytics career?

1) Winning multiple Tableau titles/awards in competitions or on Tableau Public. 

2) Saving a govt organisation over a million dollars that was happened due to a manual error that was noticed through my Tableau Dashboard.

3) Getting one of the reports I generated published in the Economic Times. 

4) Cold-calling a famous celebrity gym instructor to sell a data platform to his company.

What advice would you give to a woman wanting to get into the analytics industry?

Women are natural storytellers and have great instincts! With the right tools and some practice, there's nothing a woman can't do, especially in the field of data!

In terms of the future of analytics, what do you think will be the most interesting aspect/s? 

Automation of reporting and AI

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Pravarthika Rathinakumar

Senior Data & Analytics Consultant, Merkle

In a normal day, what kinds of data / analytics activities are you involved in?

Stakeholder management, building data transformation strategy and workflows, designing report and vizzes

What are the biggest challenges you face?

Data strategy and governance

What would be the proudest or most enjoyable moment in your analytics career?

Creating a Learning and Development program that built new skills, ensured knowledge sharing and built confidence and presentation skills in graduates

What advice would you give to a woman wanting to get into the analytics industry?

Don't hold back, ask your questions and speak your mind. Your perspective matters.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Ensuring ethics and inclusivity is built into data strategy

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Jayantika Shah

Manager, Data and Cloud, KPMG Australia

In a normal day, what kinds of data / analytics activities are you involved in?

I help my clients and stakeholders get data driven answers and achieve solutions utilising advanced analytics. I apply my statistical, mathematical, analytical and problem solving skills to perform advanced analytics including predictive and prescriptive analysis, health analytics, recommendation engines, insights and much more. The wide rage of data that I work with covers topics such as financial crime, cybersecurity, patient and heath outcomes, wealth management and logistics.

What are the biggest challenges you face?

Biggest challenge that I face is bringing multiple business unit within a corporate to have a unified vision, even though ultimate aim might be same.

What would be the proudest or most enjoyable moment in your analytics career?

I personally enjoy every milestone of a project in my career. But my most proudest moment(s) in the analytics career comes as a result of health analytics when I see my contribution has made even tiniest bit of a difference in terms of better patient outcomes, improved clinical care and optimum drug utilisation.

What advice would you give to a woman wanting to get into the analytics industry?

Start today! If you desire to get into analytics half battle is already won! All you need is logical ability, thinking skills, a problem and a platform. There is a lot of content that is easily and ready available on the internet. It will not only get you started but will get you across. A formal education or degree is good to have but not a must!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Advanced analytics, data science and automation will interestingly make humans more versatile thinker, broad spectrum visionaries and quick decision makers.

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Anjuli Shankhwar

Senior Consultant - Data & Analytics, Aware, a Merkle company

In a normal day, what kinds of data / analytics activities are you involved in?

Working with Data lakes/data warehouses, writing codes to get business relevant datasets. Preparing visualizations to answer business questions. Transforming & cleansing data using Alteryx.

What are the biggest challenges you face?

There is so much to learn and improvise.  To choose few things is a challenge :).

What would be the proudest or most enjoyable moment in your analytics career?

To be recognized and commended for my work and contributions to client's organization through our Data & Analytics projects and deliveries.

What advice would you give to a woman wanting to get into the analytics industry?

Keep learning and exploring, there are a wide range of tools and technologies which can interest you to make a good, rewarding and satisfying career in Data & Analytics.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Well AI, visualizations and cloud will keep getting better for businesses to achieve more powerful view of their ways of making business better.

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Cindy Tonkin

Coach, Facilitator, Change Manager, Trainer, Aragon Gray Pty Ltd

In a normal day, what kinds of data / analytics activities are you involved in?

Helping analysts / data scientists deal with people challenges - clients/stakeholders, managing teams, communicating more effectively.

What are the biggest challenges you face?

Not everyone recognises the need / demand for better skills in this area. We tend to double down on the data rather than getting better ROI on our people interactions.

What would be the proudest or most enjoyable moment in your analytics career?

When someone I trained/coached years ago comes back to me to say that I have made their work lives simpler, easier and less hassle.

What advice would you give to a woman wanting to get into the analytics industry?

Work out how to deal with power and influence as well as the numbers.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

When we start to understand how to leverage comms between humans more effectively so that the data can do its job, and we can make things better in every domain.

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Chloe Tran

Senior Consultant, Altis Consulting

In a normal day, what kinds of data / analytics activities are you involved in?

I will be working on clients' projects - mainly ETL/ cloud data engineering tasks.

I will be following data analytics news and reading articles and critics on new technologies and trends. 

I will also catch up with my mentees, often professionals who come to me for advice.  Many of them are women who like to make a career change or young graduates who want to pursue a career in Data and Analytics. I will be reviewing their CVs, coaching them for upskilling in cloud technology or helping them prepare for interviews. I do this totally at my own time and free-of-charge.

What are the biggest challenges you face?

Finding time to upskill myself and learning new things is the most challenging to me. I have a 2 years old who stays home on Monday and often when he feels sick. As a parent I want to spend as much time as possible to be with my child but still be able to pursue my career in analytics and have an impact on others. This means I need to constantly be aware of time when juggling parenting, working, mentoring and staying up-to-date with all the technology innovation happening out there. Although it is often exhausting, I feel fulfilled and want to keep doing more.

What would be the proudest or most enjoyable moment in your analytics career?

At 8.5 month pregnancy, I aced the AWS Machine Learning Specialty certificate at 92 score. I sat 3 hours straight in that exam. (Yes imagine 3 hours not allowed to go to the toilet and I was hugeeeee:D). My team and family and friends said they wouldn't want to try that. I agree :D

What advice would you give to a woman wanting to get into the analytics industry?

Be persistent and don't be afraid to reach out for help. Get advice on your CV, skills and possible options that is more suitable to your skillset. You don't have to be a python/ coding expert, analytics has whole heaps of areas so bring your flair.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Disrupting data warehousing technologies and automated tasks delivered by robots. Even coding can be partially or fully done by a robot. The ways of work will then adapt and evolve. The role of data analysts/ scientists and data engineers within the entire data landscape can be redefined.

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Samalka Wedaratne

Junior Data Analyst, Revium

In a normal day, what kinds of data / analytics activities are you involved in?

I set up tracking for websites & digital marketing campaigns which enables data collection according to analytics best practices, use data visualization techniques to build dashboards on key metrics & implement reports using the collected data from multiple sources enabling the clients to get a summarized overview of their website and campaign performances.

What are the biggest challenges you face?

Since I work across different clients, I must be proficient in different analytic tools and systems which sometimes can be challenging. Prioritizing tasks and time management is also another challenge I face.

What would be the proudest or most enjoyable moment in your analytics career?

Being able to be a part of the team behind the launch of brand-new website was an enjoyable moment in my analytics career.

What advice would you give to a woman wanting to get into the analytics industry?

Be curious! Having an inquisitive mind is an advantage to an analyst. The analytics industry is very broad and what works for one application may not work for another, so be open-minded and receptive to new ideas, research more and test new things!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think the use of Machine Learning and AI will be more prominent in the future with more focus towards predictive analytics. The impact of metaverse will be interesting too.

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Angkana Whiley

Director, PwC

In a normal day, what kinds of data / analytics activities are you involved in?

I lead and implement data strategies and data improvement programs for public sector agencies which may include establishing foundational data capabilities such as data governance and management frameworks and practices, data platforms and data integration solutions, and data analytics projects to support decisions.

What are the biggest challenges you face?

While there is unanimous interest and commitment for agencies to use and manage data better in their operations, each may be embarking on their data reform journeys from a different starting point. Agencies face challenges such as legacy ICT systems that impede data use and sharing, long standing cultural and behavioural practices that hamper the acceptance and use of data, lack of funding and investment in data foundations, data assets are siloed - not easily discoverable, accessible, shared for use and reuse, lack of social licence and trust in public sector data use, poor workforce data literacy and proficiency, lack of understanding and capabilities to support data privacy and security protections, lack of guardrails through data governance, legislation, and policies + privacy, legal, ethics,and lack of common and repeatable data and analytics processes.  The large part of my challenges to support agencies to solve these problems and issues is focussed around lack of leadership and investment, lack of clarity on scope and often narrow scope due to legacy agency structures, complex stakeholder relationships across the ecosystem, lack of resourcing to support agency data uplift.

What would be the proudest or most enjoyable moment in your analytics career?

Always, hand down, when my teams succeed in their day to day work, deliver excellent work, learn new things, improve their capabilities and get promoted. Second has been seeing data insights directly informing decisions to make a difference and contributing to outcomes people and communities.

What advice would you give to a woman wanting to get into the analytics industry?

You are desired, needed, and the best person for working in data analytics - do not let anyone stop you in your ambition and learn from others around you - find a few mentors and a sponsor - keep moving and learning, do not stagnate - but importantly have fun

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

We will see the ability for data analysts both novice and advanced to work better, smarter and faster using enhanced processes, tools and technologies - such as AI/ML augmenting how we work with data (velocity, variety, and volume) to deliver trusted insights, while we see improvements in how data is acquired, managed, and responsibly shared for use and reuse.

Banking, Superannuation & Payments
Click on a name to understand each person's role, proudest moment, greatest challenges and advice for women thinking of a future in analytics.
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Jismi Tess Antony

Data Analyst - Responsible Banking, ANZ Bank

In a normal day, what kinds of data / analytics activities are you involved in?

Data analysis, identifying and implementing solutions for problem statements involving customer payments for remediation and resolution matters. Data storytelling - bridge the gap between technical and non-technical people. Manage information and identify trends to accelerate thoughtful and balanced business decisions.

What are the biggest challenges you face?

Working on data across different platforms, legacy systems and unavailability of data mapping documentations.

What would be the proudest or most enjoyable moment in your analytics career?

Industry Mentoring for University students. Loved sharing the learning and providing guidance to aspiring data professionals.

What advice would you give to a woman wanting to get into the analytics industry?

Stay determined, work hard and never be afraid to voice your opinion. The world of data is awesome and the opportunities are endless. You will always find something interesting to do.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Analytics is crucial for smarter decision-making. Would be interesting to see how the expanding machine learning and artificial intelligence landscape uncover endless possibilities in data security and privacy for a stronger and better data world and making thoughtful and balanced decisions.

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Catherine Besido

Customer Remediation Data Chapter Lead, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Day-to-day I am involved in centrally driving efficiency, improving the data chapter's mastery & provide thought leadership on strategically what tools to develop/enhance or managing risks on our data assets. All to bring back to our purpose on how to get money back in the hands of our customers faster.

What are the biggest challenges you face?

Balancing people matters, speed and consistent delivery & managing risks

What would be the proudest or most enjoyable moment in your analytics career?

I find joy and fulfillment when we deliver to our purpose, when we succeed and grow as an individuals and together as a team, when the team feels empowered, psychologically safe and always learning.

What advice would you give to a woman wanting to get into the analytics industry?

(1) Chin up! you deserve the seat on the table

(2) trust you unique perspective and human skills

(3)Keep on educating yourself and others

(4) Lead by example

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

understanding sustainability and climate risk- how it impacts us and what we can do to manage and slow it down; Use of AI for good such as how we can protect children from predators online; development of tools to support diversity, inclusion and equity specially for those with physical disability and are neurodivergent.

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Olivia Brechney

Consumer Research Manager, Afterpay

In a normal day, what kinds of data / analytics activities are you involved in?

Data analytics like choice modelling, decision trees, drivers analysis etc., data visualization and data manipulation/ processing

What are the biggest challenges you face?

The FinTech industry moves very fast so projects move very fast too. It's exciting but can be a challenge to turn things around so quickly.

What would be the proudest or most enjoyable moment in your analytics career?

Anytime the business shifts its focus or objectives based on a model or a finding is very rewarding. Seeing the direct impact of your work and how it 'comes to life' in all areas of the business makes me proud.

What advice would you give to a woman wanting to get into the analytics industry?

Diversify, while being an analytics star is amazing understanding business strategy and how data can be implemented to direct the business is the key! This can include Marketing, Product, Loyalty even Policy

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

AI! This is the hot topic of the industry right now

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Sarita Chaturvedi

Data Analyst, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

As a data analyst my typical day involves gathering data, cleaning data and transforming it into a more organized and  meaningful information that business can uses to make decisions.

What are the biggest challenges you face?

There are many challenges but the major challenge is to communicate the technical design or architecture to the non technical people in a way that is easily understood.

What would be the proudest or most enjoyable moment in your analytics career?

I feel proud every time I see businesses engaging in  data driven decision making. My proudest or most enjoyable moment was when  I was able to avoid a network failure for a telecom company by predicting a network outage.

What advice would you give to a woman wanting to get into the analytics industry?

Be fearless, confident and always eager to learn.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I am hopeful the future of analytics would bridge the gap between data and business. The businesses would engage in data driven decisions more than ever.

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Debasree Datta

Senior Manager Analytics, Westpac

In a normal day, what kinds of data / analytics activities are you involved in?

Helping teams uncover insights from data to be able to inform business decisions and communicate with our customers at the right time with the right message

What are the biggest challenges you face?

The need to read, assimilate and use data from multiple sources to create personalised customer experiences while optimising business processes

What would be the proudest or most enjoyable moment in your analytics career?

The world is continuing to become more data driven and customers expect every interaction to be more relevant than ever. I enjoy the challenges and learning opportunities that brings!

What advice would you give to a woman wanting to get into the analytics industry?

With the high volume of data being created every day, there has never been a better time for women to enter the world of analytics. From the very technical side of architecture or creating data models to wanting to analyse these models to be able to tell the story behind the data, there's something in it for everyone

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Use of augmented analytics and the role of AI

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Azadeh Farnoush

Senior Data Scientist, Westpac

In a normal day, what kinds of data / analytics activities are you involved in?

Financial data - business lending

What are the biggest challenges you face?

Data Quality

What would be the proudest or most enjoyable moment in your analytics career?

Analysis of NPS comments

What advice would you give to a woman wanting to get into the analytics industry?

Read articles about latest AI news

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Integration of AI in banking system

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Sami Ghodratnama

Insight Analyst, Lendi

In a normal day, what kinds of data / analytics activities are you involved in?

Marketing, sales, finance, product

What are the biggest challenges you face?

Working with people who are not technical and doesn't understand data as much as we are.

What would be the proudest or most enjoyable moment in your analytics career?

Finding insight from data which help business to make critical decision.

What advice would you give to a woman wanting to get into the analytics industry?

Don't afraid, be brave, you can do it better than anyone else.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Working with more intelligence tools.

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Sandra Koh

Business Research Manager, Afterpay

In a normal day, what kinds of data / analytics activities are you involved in?

I typically spend 70% of my day looking at consumer and business data, this involve analysing survey data (quantitative or qualitative) to draw meaningful insights relevant to my team and organisation objectives. To understand these objectives, I spend the remainder of my time attending team meetings and individual meetings with key stakeholders to discuss and understand what is important to them and how the research can assist.

The insights from these analyses will then be re-packaged into a user-friendly and concise report that includes strategic next steps for Afterpay or for our merchants. This is the implementation phase of the research and often involves me presenting the research, insights and generating discussion with my team and across the organisation. The research is sometimes published in other forums, which may also require my attention and presentation.

What are the biggest challenges you face?

One of the key challenges I have faced recently is gaining engagement from our customers to participate in research.

With our customers, the struggle has been amplified by the numerous cyber-attacks to consumer identity over the last year along with the increasing number of online scams. This has caused a drop in response rate.

Another key challenge is working with our agencies and suppliers to meet deadlines of the research and problem-solving unforeshadowed obstacles, For instance, insufficient sample, funding budget and delays.

A final challenge relates to gaining buy-in from those the research is being presented to in order to have an impact. This involves critically analysing the findings to draw important insights that align with objectives and business interests, meeting numerous people to understand their different and competing needs, and building a report and presentation that speaks to the needs of everyone involved.

What would be the proudest or most enjoyable moment in your analytics career?

One of my proudest moment in my analytics career is successfully leading a research initiative across multiple regions (AU,UK,US). It was an important and large scaled research for Afterpay/Clearpay. This involved managing multiple quantitative surveys in order to pull together great insights that would be meaningful for Afterpay/Clearpay and its merchants. I really enjoyed presenting the insights gathered from this research and the recommendations that follows from it to some of our key merchants.

The success of this research initiative was also recognised by key bodies within the retail industry, insights were showcased on multiple radio channels across the state and coverages of our insight were included in print as well (e.g. local newspapers across states) adn showcased across Afterpay

What advice would you give to a woman wanting to get into the analytics industry?

Know what you are passionate about in analytics. You will be spending 7-9 hours a day working in the industry so be clear on what really makes you tick and pursue it.

If you are in the earlier stages of your career, explore all the different avenues and get a good grasp on what you believe you will enjoy working and dedicating most of your time on.

Lastly, seek a mentor with demonstrated industry experience in your chosen field and understand their role, responsibility, challenges and proudest moments to understand if this is consistent with your career aspirations.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Data democratisation to me is the most interesting aspect of the future of analytics. Gone are the days where there is a need to convince or prove the added value of data and analytics. Instead there is now a big push to make data and analytics as accessible as possible for everyone within a business. It will be interesting to see how this push for data democratisation impact on the field of analytics in the future.

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Janine Lloyd

Home Loans Analytics Lead, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Leading strategic projects (with heavy data components) to deliver business benefits as well as data capability uplift; Leading a high performing team of Data professionals who deliver improved business outcomes Informing and influencing senior stakeholders ensuring data as an asset is used effectively and efficiently to improve business outcomes

What are the biggest challenges you face?

Balancing competing needs with limited resources2. Allocating the right level of resources to maintain well governed data assets Ensuring senior leaders and stakeholders are informed about data and have the information they need to make the right business decisions

What would be the proudest or most enjoyable moment in your analytics career?

I have been fortunate to have had many moments where I have created opportunities for high performing analysts to shine. In these situations, I love motivating and supporting them step up and watching their careers flourish.

What advice would you give to a woman wanting to get into the analytics industry?

Identify the part of analytics that excites you and continue to develop yourself in that area. Find mentors who you admire and motivate you.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Ensuring data is 'ready' for the future level of self service that is becoming embedded in all job roles. However, not all people have the skills and not all data is in a state that can support the future level of self service that I foresee.

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Ciara McGoohan

VP Customer Science & Strategy, Afterpay

In a normal day, what kinds of data / analytics activities are you involved in?

I run the team at Afterpay so my days are generally filled by meeting with team members, reviewing projects and engaging with stakeholders across the business to progress data driven transformation at Afterpay

What are the biggest challenges you face?

The Afterpay organisation is fast paced and changing / growing quickly hence our biggest challenge is ensuring we're aligned to business priorities - which can be a moving goal post! Ruthless prioritisation has become part of the day job, and we've had to build a highly adaptable team as a result

What would be the proudest or most enjoyable moment in your analytics career?

Without question, building a team of incredibly smart & talented data science, analytics & insights professionals at Afterpay.

What advice would you give to a woman wanting to get into the analytics industry?

Don't worry about having the 'perfect' qualifications - if you have a flair for numbers, people and business then Analytics is a career you should put to the top of your consideration list

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The potential application of conversational AI through schools and in education is fascinating to me. And I don't believe it will make the next generation/s lazier, I believe it will elevate their thinking and make them even smarter, which is a scary thought! :-)

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Shriya Narayanan

Customer Analyst, REST Super

In a normal day, what kinds of data / analytics activities are you involved in?

I develop and deliver pre-campaign analysis, targeting and post-implementation reviews. I am also involved in devising and implementing customer behavioral insights and actionable insights to the business and key stakeholders. I also work on projects and initiatives designed to understand key member behaviors that drive customer acquisition, retention and engagement.

What are the biggest challenges you face?

-Given the massive volume of data and the multiple sources I work with, it is sometimes challenging to find the correct source.

-Understanding legacy systems without proper data documentation

-Simplifying insights and findings to non-technical stakeholders at the risk of over-simplifying

What would be the proudest or most enjoyable moment in your analytics career?

Everything that I have learned so far in this field has been through experiential learning. Through all this amassed knowledge, it is rather gratifying to provide value to the business through the work I do.

What advice would you give to a woman wanting to get into the analytics industry?

-With so many changes and advancements in this field, it is vital to be adept with the latest knowledge/technology.

-Having a curious/analytical mindset at all times plays a crucial role in asking questions to your data.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The rise of data literacy and the importance of data/insights in making business decisions has been growing since the past decade. It would be interesting to see advancements in scaling analytical teams blended with the advent of AI and machine learning.

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Carine Ong

Data Analyst Chapter Lead, ANZ Bank

In a normal day, what kinds of data / analytics activities are you involved in?

In the data-driven environment that we are in, data is our bread and butter. With the effective use of data, it creates insights and drives company decision making. In a normal day, I would analyse the data to address the findings from Australian Financial Institution's reviews, address regulatory enquiries, and drive divisional governance initiatives. 

Data Governance is vital in unearthing meanings and values from the data to the organisation. Data Governance and Remediation are interrelated. With the effective use of data governance, it ensures data is consistent and trustworthy to bring desired customer outcome.

What are the biggest challenges you face?

Some of the biggest challenges that I have faced are data quality issues and lack of skilled resources with understanding of data analytics. 

It has always been very challenging to have to analyse more than 20 year-worth of historical data. We have to perform extensive Big Data Analytics to uncover trends, patterns and correlations of large amount of data in order to help the company in driving imperative decisions making. 

The ever-changing new technologies and recessions had contributed to the lack of skilled resources in Big Data Analytics hence it is important to retain our resources and knowledge base.

What would be the proudest or most enjoyable moment in your analytics career?

Remediation is important for business in financial services sector to uphold community expectations, maintain organisation reputations whilst meet regulatory requirements. 

I am proud to be a part of the Data Remediation Team and this organisation, and to be able to contribute to the community and protect our organisation's reputations.

What advice would you give to a woman wanting to get into the analytics industry?

“Share our similarities, celebrate our differences.” 

We embrace our commons and differences. We learn and grow to become a wiser, more ,inclusive and better person.  

Follow your heart and pursue your dreams.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Powerful technologies, Artificial Intelligence (AI), and Machine Learning empowering the business decisions, reducing the turnaround time, and to help gain better understanding of our customers.

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Danielle Ormandy

Principal ML Engineer, National Australia Bank

In a normal day, what kinds of data / analytics activities are you involved in?

- Data strategy - Data architecture - Solution Design - Feature Engineering - Stakeholder engagement - Service Delivery

What are the biggest challenges you face?

- Organisational data maturity - Data Platform limitations - Data Quality - Stakeholder expectations

What would be the proudest or most enjoyable moment in your analytics career?

Delivering an operational end-to-end ML pipeline to deliver Business Analytics

What advice would you give to a woman wanting to get into the analytics industry?

Take time to understand the organisational data landscape as successful data solutions need to match the data strategy and maturity

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

- Integration of complete AI solutions into organisational processes - Elevation of AI to a key component in organisational operations and processes

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Nasrin Parsaei

Senior Customer Analyst, Rest Superannuation

In a normal day, what kinds of data / analytics activities are you involved in?

For any given business problem, I use end-to-end analysis, finding "what data shows", "so what", and "now what" by creating/reusing a relevant dataset and best practice visualizations to tell the story with data and eliciting actionable insights.

I present insights to businesses following the Pyramid principal methodology, recommending actions, and supporting data-driven decisions.

What are the biggest challenges you face?

Making the story of insights as simple as possible. Removing the visualizations/fascinating insights that won't connect the dots and need to draw while I have already fallen in love with them and would love to share!

Being aware of both my unconscious bias and my stakeholders' biases. Communicating effectively with stakeholders who have already made decisions can be challenging when the data shows different things.

What would be the proudest or most enjoyable moment in your analytics career?

My proudest moments are seeing actions in the queue based on my recommendations after I have completed the complex job of digging through the data, learning from SMEs and developing actionable insights.

When senior managers accept my proposals for working on a new analysis based on real-time business matters.

What advice would you give to a woman wanting to get into the analytics industry?

Refrain from overanalyzing the situation.

With any diverse background and skill set, it helps if you enjoy and are open to improving your communication, investigation, logic, and math skills.

Set small goals and go ahead!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The movement to democratize high-quality data and be available to all non-technical decision-makers across the organization is fascinating. Empowering them to make data-driven decisions using real-time insights and visualizations confidently.

It will free up the capacity for the analyst to work on more intense projects and get more engaged with board/executive matters.

I would love to see equity in analytics leadership by gender.

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Binita Poonam

Data Engineer, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Data manipulation, Data visualisation, Reporting and Analytics.

What are the biggest challenges you face?

Last minute changes in business requirements from stakeholders.

What would be the proudest or most enjoyable moment in your analytics career?

When decisions are made based on the story the data tells you. It makes you feel like you add value.

What advice would you give to a woman wanting to get into the analytics industry?

Don't worry about the Job description. You are not required to match 100% of the skills listed. You can figure out most of it on the job.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The emphasis on accurate generation of data at the grassroot level and storage of it as a valuable asset. That is half the battle won.

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Faith Price

Risk Manager, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Data analysis - from extraction, manipulation, structuring, visualization and automation

What are the biggest challenges you face?

Poor data structures - and having multiple storage / access requirements to access data across the business

What would be the proudest or most enjoyable moment in your analytics career?

Optimisation through data. Being growth, targeting marketing, upsell and downsell within a portfolio, identifying risks and building a business on data-first initiatives

What advice would you give to a woman wanting to get into the analytics industry?

We are all learning and growing, don't stop being curious - the answer is in the data.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

CX AI .... as a consumer this is the foundation for efficient accurate interactions on anything i want / need on my time.

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Antonia Razborsek

Senior Manager Portfolio Risk, Teachers Mutual Bank Limited

In a normal day, what kinds of data / analytics activities are you involved in?

Identifying, reporting, and understanding risks in our portfolio. Upskilling, training and supporting my team. Collaborate with stakeholders across the business to solve problems and support our members. Each day is different, and always interesting.

What are the biggest challenges you face?

My biggest challenge is change but it is also exciting. Commencing a new role in a new company after 16 years at my previous company. I am looking forward to growth and learning.

What would be the proudest or most enjoyable moment in your analytics career?

Design and execution of change leveraged through data insights. Building strategies which improve and support customers and the business with tangible impacts.

What advice would you give to a woman wanting to get into the analytics industry?

There is no easy path in analytics, sometimes it’s challenging, sometimes you will struggle but you will be rewarded and achieve great things. Believe in yourself and your skills and find your voice and passion.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Utilising data to make better decisions with better quality data. Identifying risks early and mitigating them.

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Nerys Rodrigues

Strategy Manager, Afterpay

In a normal day, what kinds of data / analytics activities are you involved in?

My role primarily consists of unlocking the value of Afterpay’s data to drive audience and merchant growth. This entails synthesizing performance data, customer insights and research to develop playbooks that identifies internal and external performance tactics across our owned and operated media channels. This includes anything from:

  • developing data-driven marketing campaign strategies, 
  • creating effective audience targeting strategies
  • providing guidance on campaign performance through evaluation of data and insights

I also lead the ANZ customer and market insights where I consolidate internal and external customer, macroeconomic and competitor insights to produce quarterly insights deep dives for the business. This provides a holistic view of the macroeconomic landscape, performance within the total retail sector and BNPL specifically and Afterpay’s market share positioning against competitors. This is an action-orientated body of work which identifies key opportunities for growth and recommendations moving forward.

And finally, I work closely with our Marketing Science team to create and implement a consistent measurement framework across the business

What are the biggest challenges you face?

For me, it's data interpretation and proficiency. There is so much to unpack and understand when working with large datasets, so explaining complex data in a simple yet meaningful way continues to be a challenge when communicating to stakeholders of various levels and skillsets

What would be the proudest or most enjoyable moment in your analytics career?

Firstly it's actually being able to put insights into practice, seeing it through end to end from insights to activation! I’ve activated marketing campaign opportunities utilising Afterpay’s Customer Data. This involved identifying multimillion-dollar GPV acquisition opportunities for key merchant partners and then determining key customer cohorts who would consider shopping with specific merchants. The customer cohorts were then activated through a paid media campaign on channels where our consumers most consumed. In return, we were able to measure uplifts in performance by targeting the right consumers for the right campaign.

Secondly, it would have to be unpacking the value of our customer segmentation work for the US market to produce our CY23 US Consumer Strategy. Here we not only identified key opportunities for customer growth, but also strategies to enhance our existing cohorts and drive frequency and recency. This will be fundamental to how we drive profitable growth this year, with the next steps being to identify tactical levers, with stakeholder buy in and then how we track and measure performance ongoing.

What advice would you give to a woman wanting to get into the analytics industry?

Allow yourself to learn at your own pace, and ask lots of questions along the way. Numbers are not scary, and they can look really pretty and insightful with the right visualisation!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think there is going to be a greater focus on data ethics and privacy. Data is more available and accessible, with organisations facing increasing pressure to protect customer data and ensure their practices are ethical and transparent. Further, following the large scale data breaches of late, there will hopefully be greater regulation and protection of data in this space.

Secondly, as we get more accustomed to using data and interpreting data there will be more of a need to use data visualization and storytelling. This will be crucial in conveying key insights and driving decision making.

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Rachel Scott

Manager Marketing Science, Suncorp

In a normal day, what kinds of data / analytics activities are you involved in?

I lead a team that produce recommendations based on advanced modelling to optimise strategic marketing decisions. This includes Market Mix Modelling using AI techniques, econometric modelling, segmentation, ROI and financial modelling.

What are the biggest challenges you face?

1. Data speed, availability and quality - the proliferation of data has made governance such an important part of the process.

2. Data literacy of the business - educating the users of insights is essential to good decision making.

What would be the proudest or most enjoyable moment in your analytics career?

First of all, being recognised among some exceptional leaders in the Top 25 Analytics leaders in Australia 2022 was a career highlight.

Throughout my analytics career, I always enjoy seeing that 'light bulb' moment that is essential to driving impactful change.

What advice would you give to a woman wanting to get into the analytics industry?

Be confident in your abilities. I am surrounded by so many talented women and men in analytics, and every person has a unique contribution to bring to the table.  Know your strengths and use them positively impact the people and work around you.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Algorithms have the potential to both introduce and remove biases in decision-making.  As our industry advances and our culture relies more and more on automated decisions, we have an ethical responsibility to advocate for the development of fair and non-biased AI solutions.

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Bidisha Sengupta

Data analyst - Chapter Lead, ANZ Bank

In a normal day, what kinds of data / analytics activities are you involved in?

Source and validate data from a variety of sources (Big Data platforms [Hadoop], Oracle, Teradata, enterprise data assets, core mainframe systems) to combine, synthesise and analyse to generate insights

Define and conduct tests to validate that data is fit for purpose and that remediation calculations are correct and accurate

Leverage your knowledge on business process, ANZ product and associated data to write complex queries/scripts in Python/Spark SQL language to identify the impacted accounts and calculate the refund owed to customers when we have got it wrong 

Peer review other DA’s code and ensure solutions built to defined requirements

Analyse data and maintain data integrity as data passes through bespoke built applications

Perform data analysis in order to support individual missions of Squads

Contribute to the prevention of re-remediation by documenting and communicating insights into what causes customer remediation

Mature the Data Chapter in Responsible Banking by educating and coaching peers on data analyst techniques and principles

What are the biggest challenges you face?

1) Data Quality challenges

2) Data availability historically

3) Reliance on external business teams for information and decisions

4) Regulator timelines

What would be the proudest or most enjoyable moment in your analytics career?

Working in remediation, it feels great to realise the direct customer impact once payments are processed.

What advice would you give to a woman wanting to get into the analytics industry?

Flexibility is the key. Having a learning mindset helps as technology and tools are so dynamic. Although working with data, understanding the business requirements and product knowledge comes in handy.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Data Science - Artificial Intelligence/Machine Learning.

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Danielle Sivan

Insights Analyst, Lendi Group

In a normal day, what kinds of data / analytics activities are you involved in?

creating dashboards, data extract, and complex analysis to help customer getting a better view on the business

What are the biggest challenges you face?

The business faces the challenge of scaling data analysis. Analysing and creating meaningful reports becomes increasingly difficult as the data pile up

What would be the proudest or most enjoyable moment in your analytics career?

Impact and changing business decisions as a result of my analysis

What advice would you give to a woman wanting to get into the analytics industry?

Everything is possible if you believe in yourself and have the motivation to learn new things everyday

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

AI

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Sahar Sohrabi

Data Strategy Lead, ANZ Bank

In a normal day, what kinds of data / analytics activities are you involved in?

strategic planning 

career pathways

system integrations

reporting

data architecture 

data forensics

 

What are the biggest challenges you face?

Improving the psychological safety withing the teams.

Making sure risk and risk appetite is front of mind in the day-to-day activities.

What advice would you give to a woman wanting to get into the analytics industry?

You don't need to know it all. You'll learn.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I'm proven over and over again that having good quality data out-powers simply big data. Sooner or later we will be focusing on improving our data.

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Yamini Tarlogta

Data Analyst, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Currently, I am working as a data analyst where I profile and analyze data for a remediation project. We work with historic data, and write codes/scripts using python language on a bigdata platform.

What are the biggest challenges you face?

With so much data around us, figuring out if we are working with the right information and formatting it to make it fit for use is the biggest challenge that most of analysts face. 

What would be the proudest or most enjoyable moment in your analytics career?

In my opinion all the small and big wins count. Every project that I have delivered and worked on has helped me grow.

What advice would you give to a woman wanting to get into the analytics industry?

If you enjoy solving problems and are fascinated by the fact how we can analyze current and historical facts to make predictions about future or otherwise unknown events, then analytics is for you. 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Artificial Intelligence and Machine learning.

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Laura Travers

Senior Business Partner - Data and Insights, Afterpay

In a normal day, what kinds of data / analytics activities are you involved in?

My role within Afterpay sits in the Customer Science & Strategy team which is a function that supports the entire organisation, from sales to marketing to trade to investor relations. The key objective of my role is to unlock the value of Afterpay data to help win with our customers, merchants and market, scaling actionable insights through world class data & insight.  Being a global role,  and with Afterpay moving at such a rapid pace, no two days are ever the same. 

On a daily basis I work on multi million dollar acquisition pitches - the most recent being worth $1.2bn, where my role was to showcase the value of our data and insights proposition and identify the opportunities of utilising our data to drive new customers and frequency. This was a pitch we were successful in, with the feedback being that the data and insights component played a critical role in securing the partnership.

I also recently worked on a sophisticated behavioural segmentation project which utilised machine learning to segment our customers based on their purchasing behaviour with Afterpay. This is something that is now embedded into the fabric of the organisation and forms the common language of how we speak about our customer.  I leverage this segmentation on a daily basis to help develop effective cross market customer strategies, ensuring relevance and delivering to customer needs to drive engagement, enabling and elevating the next evolution of targeted communication.

The segmentation has already proved successful in early stages of testing in our Afterpay day campaign, with our tailored comms driving a 9% uplift on never active users compared to a 10% hold out group. This proved confidence and support of our analytics capabilities and how we can be more efficient and effective in our marketing spend.

A key focus of my role is also around how we can effectively improve processes and scale insights throughout the business. This involves working closely with our analytics function to build reports that can be used throughout the entire organisation, applying a key commercial lens of what is interesting to the business and our partners.  I have also led the rollout of ThoughtSpot, an insights tool, in order to democratise data within the business and to empower teams to pull their own insights. With this, I have set up training sessions and provided teams with the right tools to be successful and self-sufficient in leveraging data driven insights within their role.


What are the biggest challenges you face?

I would say the biggest challenges are the same as those faced by anyone working as an analytics professional - ensuring the data we leverage is telling the right story and is also constantly actionable. We have so much data available it can be overwhelming - ensuring we are looking at the right data to make smarter business decisions is a constant challenge. 

For Afterpay more specifically, a key challenge is the pace of the business and ability to prioritise workload. My role is global, supporting multiple teams, and with over 50k merchants hungry for insights, it’s key to know where to focus your efforts that will drive the greatest value and impact for our business, customers, and merchants alike. That can be a challenge in itself, often with competing priorities.

Lastly, from a market lens, increasing competition is a challenge. BNPL as a product is being commoditized and competition in this space is getting more and more heated. Having the ability to cut through the noise and being able to identify and communicate the Afterpay value proposition - one that is backed by data - is critical. We are the pioneers in this space, we have a fiercely loyal customer base, and drive incrementality to our merchant partners - being able to effectively communicate and quantify that value is essential, whilst also being able to provide actionable recommendations on how we can improve our product offering backed by data driven insights.

 

What would be the proudest or most enjoyable moment in your analytics career?

I’ve been lucky enough to work at Afterpay for 5 years now in my analytics career and my proudest (extended) moment is to be part of the evolution of our analytics and strategy team and see us go from strength to strength in terms of how we work with our merchant partners and leverage our rich data. In just over a year our customer science and strategy team has grown 5 fold to over 25 people and with my deep understanding of the business and being there at its infancy, I’ve played a consultative role on how we shape and develop our insights as well as being that strategic merchant partner having a deep understanding of merchants needs. 

One product roll out which was monumental to the business - and industry - is iQ; an AI-powered insights, visualisations, and real-time data platform in one self-service UI, which empowered and enabled merchants to access simplified insights for their entire organisation. I was heavily involved from the pilot to identify merchant needs and garner feedback, to consulting on it’s development and holding regular feedback sessions to help inform and build the product roadmap. The uptake and feedback was phenomenal on how it helps inform strategic business decisioning as well as informing the next best marketing action, which is testament to its success. “iQ is helping us talk to the right customer in the right way,” HiSmile.


What advice would you give to a woman wanting to get into the analytics industry?

The next decade will be dominated by companies that master data driven customer experiences, but what is critical is the application of that data. With a vast amount of data out there, those businesses that will succeed are those that are razor focused on driving out the ‘so what’ and provide actionable insights - otherwise the data is redundant.  It is therefore essential to interrogate every insight with the lens of whether it adds value to key stakeholders and creates new opportunities to drive growth. 

Whilst being technically proficient is important, it is critical to have a strong commercial lens and be able to identify trends and opportunities within the data as well as the ability to communicate findings into a customer focused narrative. You will often be presenting to stakeholders of all levels with varying degrees of data proficiency and therefore it is critical to present data in a simplified way that can very easily be interpreted.

Lastly,  the ability to ask the right questions to get to the crux of the problem is crucial. It's one thing to know the answer to a data related question, it's another to be able to help the business know what questions they should be asking and to see your work have real impact on the business because it's grounded in actionability.

Very often people ask for data without knowing what they will do with it or the problem they are trying to solve. A great analytics professional will be able to unpack that and provide them richer insights that will more effectively answer their question. 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think it’s the continued rapid evolution of machine learning and AI and  how it offers the ability to disrupt and enhance our existing processes in virtually every segment of society. It’s expected future impact is huge in achieving efficiencies to everyday operations, business processes and boost productivity. Whilst it has provoked fear of the potential need for humans becoming redundant, it enables business leaders to make more informed decisions and analyse immense volumes of data that a human couldn’t possibly do alone in a timely manner, creating space for more strategic big picture thinking and  greater innovation. As well as making it easier for end users in business functions to interpret data and have clear visualisations at their fingertips, democratising data and becoming central to a company's culture. I’m interested to see how that unfolds over time.

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Lekshmi V K

Data Analyst, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Data Analytics for a customer remediation solution

What are the biggest challenges you face?

Initial learning of new tools

What would be the proudest or most enjoyable moment in your analytics career?

I just love data and enjoy whatever I do in data space

What advice would you give to a woman wanting to get into the analytics industry?

Be open, ask questions (no question is silly), just have the desire to learn as you go and enjoy every moment

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Future analytics will be more around the machine data as we surrounded with lot or AI and automations. The focus will be more around cyber security and data protection in the cloud.

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Mahsa Zameni

Principal Data Scientist, NAB (National Australia Bank)

In a normal day, what kinds of data / analytics activities are you involved in?

As a principal data scientist, in a normal day, I am involve in a mix of technical skills, leadership abilities, and business acumen to drive impactful data-driven initiatives that deliver value to my organisation. Examples of my activities are: 1)Data collection and analysis, 2)Model development and evaluation, 3)Data visualization, 4)Team managemen, and 5)Collaboration with cross-functional teams.

What are the biggest challenges you face?

Two of my biggest challenges are:

1)Stakeholder management: I must be able to communicate complex technical concepts to stakeholders from a variety of backgrounds, including executives, product managers, and engineers. I must be able to balance the needs of different stakeholders while ensuring that data-driven insights are driving decisions.

2)Data quality and availability: One of the biggest challenges for me is working with data that is incomplete, inaccurate, or otherwise of poor quality. In addition, data can be difficult to access, particularly in NAB which is a large organizations with complex data ecosystems.

What would be the proudest or most enjoyable moment in your analytics career?

1)Solving a complex business problem: One of the most rewarding experiences in my analytics career is being able to solve a complex business problem that has a real impact on my organization. Whether it's optimizing a product or improving customer retention, being able to use data to drive significant business outcomes is incredibly satisfying.

2) Developing and deploying a successful predictive model: Creating a predictive model that accurately forecasts a particular outcome or behavior is a very fulfilling experience for me. Seeing the model in action and achieving positive results is a source of pride and accomplishment.

3) Visualizing data in a compelling way: Data visualization and creating a visualization that effectively communicates insights to stakeholders is a very satisfying experience. Seeing stakeholders engaged and excited about the insights and recommendations is a source of pride.

4)Mentoring and developing other analytics professionals: Being able to help other analytics professionals develop their skills and achieve their goals is a very rewarding experience. Watching someone grow and succeed under my guidance is a great pride.

5)Contributing to the analytics community: I am passionate about sharing my knowledge and contributing to the broader analytics community such as speaking at different conferences.

What advice would you give to a woman wanting to get into the analytics industry?

My advice would be to stay focused, be confident, and find support and mentorship from other women in the industry. With hard work and perseverance, anyone can succeed in analytics. More specifically:

1)Focus on building a strong foundation in statistics, programming, and data analysis.

2) Network with other women in analytics: Joining professional organisations or attending events for women in analytics can be a great way to build connections and find mentors who can provide guidance and support.

3)Seek out diverse experiences: It's important to gain experience working with different types of data and in different industries to develop a well-rounded skill set.

4) Be confident in your abilities: Don't let the lack of representation discourage you from pursuing your goals. Your unique perspective and skills can bring value to the industry.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I believe that the future of analytics is full of exciting possibilities. Here are some of the most interesting aspects that I think will be at the forefront of the field:

1)The increasing use of AI and machine learning

2) The rise of explainable AI

3) The integration of big data and the Internet of Things (IoT)

4)The increasing emphasis on data privacy and security

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Bhuvana

Data Analyst in Responsible banking, ANZ

In a normal day, what kinds of data / analytics activities are you involved in?

Analysis of data from multiple sources and apply the understanding in the remediation of customers as applicable.

Generate relevant customer insights for cohort analysis.

What are the biggest challenges you face?

Understanding the legacy systems with the unavailability of metadata and inconsistencies in the historic data

What would be the proudest or most enjoyable moment in your analytics career?

To see how the implemented solution fit in to a big piece of puzzle after the initial theoretical understanding of the business process.

What advice would you give to a woman wanting to get into the analytics industry?

Keep upskilling and ready to adopt the change. Don't hesitate to ask for guidance.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

It would be interesting to see how the real time data analytics can be used to deliver personalisation of the products to maintain the customer audiences. It will also enable in targeted customer growth by making the best decisions.

Charities & NFP
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Erin Hamalainen

Head of Data Analytics and Insights, The Fred Hollows Foundation

In a normal day, what kinds of data / analytics activities are you involved in?

Managing a data centralisation project and participating in the creation of a wider organisation data strategy. 

Building and maintaining Power BI reports and dashboards and  presenting insights and working closely with team leaders on data driven strategies. 

Introducing the adoption of machine learning in marketing and fundraising.

Building data literacy skills for people in non-data focus roles and growing data analytics SMEs by fostering learning and development with people in existing data roles.

What are the biggest challenges you face?

Growing the Foundations analytics, machine learning  and data literacy capabilities and resources to keep up with the Foundation's needs with limited budgets, staff and time. 

What would be the proudest or most enjoyable moment in your analytics career?

I was given the opportunity to grow my skills on the job with a few patient mentors, a couple of online training courses and a lot of  practice, failures and learnings (and later a Graduate Certificate of Data Science). 

I really enjoy being able to now give back and help others that are interested to build their skills and knowledge in data and analytics.

My proudest moment was getting a HD in my Applied Analytics subject at Uni after years of hating maths after failing in high school! 

What advice would you give to a woman wanting to get into the analytics industry?

Come and work in the Not-For-Profit or For Purpose space! 

But seriously, always believe in yourself and speak your mind. The collective is greater than the individual, and diverse views and input to projects are important.  This is especially important for the data work which is so quickly becoming a partner to humans through AI and machine learning.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

ChatGPT and other AI products and their affect on visualisation tools like Power BI will be an interesting space to watch, as AI gets getter the augmented analytics will also improve and hopefully improve user experience.

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Su Jella

Director, Data and Insights, Tennis Australia

In a normal day, what kinds of data / analytics activities are you involved in?

Some of my key activities involve:

- driving the key initiatives to enable data transformation and capabilities in the organisation

- reviewing various reports and analysis on datasets

- exploring opportunities to blend datasets to build customer profiles 

- delivering leadership to my team and organisation in delivering various initiatives in data areas

- understanding data gaps and enabling solutions to address and optimise them

- building frameworks and processes to operationalise data initiatives

What are the biggest challenges you face?

- Being able to meet the changing environment in data and technology really quickly

- Sourcing talent in a high-demand marketing

What would be the proudest or most enjoyable moment in your analytics career?

- Being recognized as Australia's Top 25 Analytics leaders

- Innovating and delivering AI solutions in a growing industry

- Being able to blend my background in marketing and customer analysis into a data-driven, technological leadership capability that is unique to the market

What advice would you give to a woman wanting to get into the analytics industry?

Continuous learning is the key to being able to drive success in this industry. Don't limit yourself and ensure you identify opportunities/projects that can help you to innovate in analytics. The most important characteristic is to have passion and curiosity for analytics to continue to learn and drive your abilities and progress in this field.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Evolution of Web3, Metaverse, the growing demand for AI solutions and use of ChatGPT - understanding the data and models that drive this capability is going to be really interesting at the back of analysing the results from these solutions.

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Angela Kim

Chief AI Education Officer, Women in AI

In a normal day, what kinds of data / analytics activities are you involved in?

In a normal day, I start most of the day with daily standup to ensure the team is all on the same page with the project progress, issues or challenges also gauging timelines for delivery and deliverables. Also it includes series of meetings with the team and leaders, including prioritisation for resource optimisation.

What are the biggest challenges you face?

With the current economic situation, the biggest challenge is delivering cost-effective project with given constraint - finding the magic formula for 80/20, 20% input and 80% output whether it is financial cost or operational cost.

What would be the proudest or most enjoyable moment in your analytics career?

Delivering Analytics project that actually makes impact on the community by delivering commercial value as well as social good, I am a firm believer in Data and AI for Good. Fortunately, I had many cases that I had to deliver analytics project to support and prevent risk of natural disasters and also ethical mortgage application project for the customers.

Not only I was really proud of myself and the team knowing that we delivered good outcome for the project but also thanks to the project, we were able to protect vulnerable cohort of citizens from the community via insurance and banking product.

What advice would you give to a woman wanting to get into the analytics industry?

Please follow your heart, we need more females in analytics to deliver diverse, inclusive and equitable analytics-driven product and services. There are so many roles actually women out-perform men, especially around Responsible and ethical data and AI which is a really important area.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I guess, automation part of the analytics will be quite interesting since it will replace some task/jobs but also create new roles and encourage more human + machine collaboration - by 2030, 80% of jobs will be tech-based roles and that's why we need to encourage more females into analytics related field.

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Jess Kuppan

Martech Manager, ADMA - Association for Data-driven Marketing and Advertising

In a normal day, what kinds of data / analytics activities are you involved in?

Everything we do leverages data! This includes all data across a multitude of platforms that we work to BI programs and analytics platforms. 

Marketing has moved into an interesting landscape where analytics and martech work hand in hand. It's a newish field and really exciting!

What are the biggest challenges you face? 

The intricate workings of the data and interactivity from each platform and how it relates to other legacy systems. 

Connecting all data so that there is a strong flow of information that leads to a seamless end user experience.

What would be the proudest or most enjoyable moment in your analytics career?

There isn't one area but it's daily learning.  I think implementing the Data Management Platform Bluekai for The University of Adelaide in 2018 in three months when we were told it would be at least one year was one of my higlights! Using unsolicited social media content to build research projects for brands - this is the best way to find out what people truly feel about your brand.  All in all, dashboard building fills me with joy. 

What advice would you give to a woman wanting to get into the analytics industry?

Embrace that you will never know everything. This is a life-long learning industry. Things move fast, and so being open minded to new ideas, platforms and technology will see you stand apart.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Everyone says this but artificial intelligence will be a strong player in uplift and insights. This will help with real-time analysis which will also be more significant. That also means streaming data instead of batch would be a trend. 

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Elizabeth Marson

Head of Data & Insights, Australia for UNHCR

In a normal day, what kinds of data / analytics activities are you involved in?

Analysis, data strategy, analytical strategy, data warehousing, reporting, modelling

What are the biggest challenges you face?

Equality in the room. I have previously had encounters where I was the only woman in a room of  men yet I was the most highly experienced or skilled however as I was a woman my experience was not appreciated or valued.

What would be the proudest or most enjoyable moment in your analytics career?

Building and celebrating a high performing, diverse team of analyst. My team today are composed of both men and women of diverse backgrounds who excel at what they do.

What advice would you give to a woman wanting to get into the analytics industry?

Keep focused and be confident that you know and can do the job as well as or even better than others in the same role. Don't let other detract you from your passion and goals.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

There is a wealth of data and ideas around analytics. Untilmately how we use the information to improve lives across the world is what I find to be fascinating.

Education
Click on a name to understand each person's role, proudest moment, greatest challenges and advice for women thinking of a future in analytics.
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Kate Carruthers

Chief Data & Insights Officer, UNSW Sydney

In a normal day, what kinds of data / analytics activities are you involved in?

Looking after the UNSW data estate from data & information governance through to analytics, business intelligence, and data management

What are the biggest challenges you face?

We have a lot of really diverse data and ensuring that it is managed in the safest way possible to maintain its confidentiality, integrity and availability is a big challenge.

What would be the proudest or most enjoyable moment in your analytics career?

Pretty proud of my team and how they migrated to our new enterprise data platform with zero downtime for customers.

What advice would you give to a woman wanting to get into the analytics industry?

Just do it. Make a start somewhere, and if you want to do it then do not let anyone (even yourself) talk you out of it.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The next generation analytics that's just starting to emerge, including how we can deal with streaming analytics and AI, in particular Generative AI.

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Sophia Duan

Senior Lecturer and Deputy Head, Department of Information Systems and Business Analytics, RMIT University

In a normal day, what kinds of data / analytics activities are you involved in?

By utilizing analytics to make informed decisions, staying current on the latest industry trends, and conducting cutting edge research in the field of business analytics, I strive to ensure that we as a Department that is offering business analytics education to the next generation of the business analytics professionals are delivering the most exceptional education to our students, and empowering them with the necessary tools and skills for success in the fast-paced and ever-changing world of business analytics.

What are the biggest challenges you face?

One challenge is to balance academic rigor with practical relevance in our courses. While it is important to provide students with a solid foundation in the theories and principles of business analytics, it is also critical to ensure that our curriculum is practical and applicable to real-world situations.

What would be the proudest or most enjoyable moment in your analytics career?

Being named the IAPA Top 25 Analytics Leaders for 2022.

What advice would you give to a woman wanting to get into the analytics industry?

Embrace your curiosity and passion for the field and never stop learning!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Human-machine/analytics collaboration. The need for human-machine collaboration has become increasingly important as organizations seek to leverage the power of data and analytics to drive business insights and innovation. While analytics tools and technologies have the ability to process and analyze large amounts of data with speed and accuracy, they often lack the ability to interpret and contextualize this data in a way that humans can. This is where the collaboration between humans and machine becomes critical to generate more insightful and impactful results, and ensure that analytics tools and technologies are being used in ways that align with human values and ethics.

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Himashi Fernando

Business Intelligence Analyst, The University of Melbourne

In a normal day, what kinds of data / analytics activities are you involved in?

Ranging from problem solving, collecting, cleaning, analyzing, visualizing, summarizing, reviewing, reporting, benchmarking, communicating, presenting to project management.

What are the biggest challenges you face?

Managing expectations

What would be the proudest or most enjoyable moment in your analytics career?

Receiving the SPARK Service Excellence Award from the Deputy Head, University Services in 2017. SPARK stands for Service-oriented; Personable; Adaptable; Results-Oriented; Knowledgeable. I was nominated for the award by the client.

What advice would you give to a woman wanting to get into the analytics industry?

This advice is crafted below as an acronym - 'ANALYTICS'

A - All Analytics Enthusiasts,

N - Numbers & Text are magic!

A - Acquire Analytical skills,

L - Learn and Awaken the Leader in

Y - You !

T - Think, 

I - Innovate and

C - Challenge to achieve 

S - Success and Solutions!

 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Analytics are escalating but ensuring the best value will be challenging, important and interesting.

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Susan Gibson

Head of Data Analytics and Artificial Intelligence, University of Technology Sydney

In a normal day, what kinds of data / analytics activities are you involved in?

As a data leader my role is always interesting and varied. In any given day my focus is on enabling student, staff and partner outcomes and experiences by utilising data to drive the university strategy. Core to this is building capability and ensuring that governance frameworks are in place and utilised. I have always ensured my teams are the forefront of technology with a current focus on building capability in AI and Graph technology.

What are the biggest challenges you face?

One of the most significant challenges is keeping up with the pace of technological change, best practices, governance and skills.

What would be the proudest or most enjoyable moment in your analytics career?

At my heart, I am a people person and therefore love seeing the passion and energy created by teams that work well together and build their own capabilities and career. This can be within my own team or transdisciplinary teams coming together to utilise the power of analytics and AI.

What advice would you give to a woman wanting to get into the analytics industry?

A great deal of research has discussed the importance of diversity to ensure the success of analytics teams. There are plenty of opportunities, and we would love to have more women in the industry!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I am incredibly excited about the potential for artificial intelligence to drive digital transformation. The challenge will be to ensure appropriate governance guides decisions around utilsiation of AI and that we effectively balance opportunities with risks.

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Carolina Giraldo

Data Analyst, ECU

In a normal day, what kinds of data / analytics activities are you involved in?

Most of my activities as a Data Analyst include cleaning, preparing, and transforming complex data sets into usable analytical assets such as reports and dashboards for user consumption. 

Essentially building data sources and analytical views from raw data, utilising dimensional and factual tables, and writing SQL code in various systems such as Tableau Prep, Databricks, and SQL Server.

Throughout my work, I focus on maintaining the integrity of data and ensuring compliance with the Data Governance Policy and security. Once the data has been cleaned and joined, I create detailed documentation outlining business rules and data requirements before sending it for acceptance testing by stakeholders.

As part of my role, I also produce Business Intelligence assets and update or republish existing ones. Additionally, I support users by introducing them to resources, upgrading their security access, and promptly resolving issues. This includes investigating, debugging, and fixing broken queries and updating calculations to ensure optimal performance.

What are the biggest challenges you face?

As a data professional, one of the biggest challenges I face is keeping up with the constantly changing and advancing technology landscape. While it can be challenging to stay up-to-date with the latest tools and techniques, I make it a priority to invest time outside of the office in learning and development to ensure that I remain current.

At the same time, balancing work and personal life can be a challenge. It's important to me to take time for family and self-care, and I appreciate employers who recognize the importance of work-life balance and offer flexibility.

Fortunately, having a supportive team can greatly reduce these challenges. When coworkers are willing to share their knowledge and expertise, it creates a culture of continuous learning and growth. And when management allows for flexibility and recognizes the importance of work-life balance, it can create a more positive and productive work environment for everyone.

What would be the proudest or most enjoyable moment in your analytics career?

The most enjoyable and rewarding moment in my analytics career happens every time I am able to use data and analytics applied to support services. By developing analytical assets that focus on improving the efficiency and effectiveness of the services, and allocation of resources.

One particular project that stands out for me, was when I developed a data-driven solution that helped identify a cohort of students requiring support. By analysing data on student demographics, academic participation, and service utilization, we were able to identify areas of need and allocate resources more effectively. As a result, we were able to serve more individuals and have a greater impact on the community.

Being able to use my analytical skills to make a meaningful impact on support services is when I feel the proudest about being a Data Analyst. It's incredibly fulfilling to know that my work is helping to make a difference.

What advice would you give to a woman wanting to get into the analytics industry?

My advice to women wanting to get into the analytics industry would be to dare to succeed or fail. Women are often valued in the industry for their attention to detail and drive for excellence, which is great. However, this can also lead to a fear of failure or a tendency to hold back until everything is perfect.

My advice is to not wait until your ideas are perfect before sharing them. It's important to have confidence in your skills and knowledge, and to be willing to take risks and try new things. Don't be afraid to put your ideas forward, even if they're not fully developed yet. This is how you learn and grow in the industry.

Additionally, I would encourage women to seek out mentors and other women in the industry who can offer support and guidance. Building a network of supportive colleagues can be incredibly beneficial for your career growth and development.

Overall, my advice is to have confidence in your abilities, be willing to take risks, and seek out mentorship and support from others in the industry. With these tools, you can succeed and thrive in the analytics field.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

As analytics technology continues to advance, I think that the most interesting aspect of the future of analytics will be the increasing use of artificial intelligence and machine learning. With these tools, we'll be able to analyse larger and more complex data sets, and make more accurate and precise predictions about future trends and behaviours.

Another interesting aspect will be the integration of analytics with other emerging technologies, such as the Internet of Things (IoT). By combining these technologies, we'll be able to gain even deeper insights into data, and create more innovative and impactful solutions.

In addition, I think that as more people gain access to new technologies and are able to analyse data, we'll see a wider range of applications and use cases for analytics, and more opportunities for innovation and creativity.

Overall, the future of analytics is full of exciting possibilities, and I'm looking forward to seeing how these trends develop and shape the industry.

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Yaqiong Li

Postdoc research fellow, Data Science Institute, The University of Technology Sydney (UTS)

In a normal day, what kinds of data / analytics activities are you involved in?

A typical day in data analytics involves a range of activities, starting with identifying a problem or a question that needs to be answered. This requires collaborating with stakeholders to understand their needs and goals, and then determining what data is available and relevant to the problem. Once the data has been collected, the data needs to be cleaned and pre-processed to prepare it for analysis. The next step is to select the appropriate analytical methods and models, based on the nature of the problem and the available data. This could involve anything from statistical analysis and machine learning to predictive modeling and data visualization. It's important to ensure that the models are accurate, reliable, and appropriate for the problem at hand. Once the models have been developed and tested, the results need to be interpreted and communicated effectively to stakeholders. This involves presenting the findings in a clear and understandable way, using visualizations, reports, and presentations. It's essential to be able to explain the insights and recommendations to non-technical audiences, such as managers, clients, or other stakeholders, who may not have a background in data analytics. Effective communication with stakeholders is key to ensuring that the insights are understood and acted upon, leading to better decision-making and business outcomes.

What are the biggest challenges you face?

One of the biggest challenges in data analytics is effective communication with stakeholders. While data analysts are experts in data and analytics, they often need to work with stakeholders who have domain knowledge in specific areas. These stakeholders may not have the same level of understanding of data and analytics, which can create a knowledge gap that needs to be bridged. To overcome this challenge, data analysts need to be able to effectively communicate with stakeholders in a way that is clear and understandable and develop solutions that are both practical and effective. This requires the ability to translate technical concepts and results into plain English, and to convey the insights and recommendations in a way that resonates with stakeholders, in addition, aligned with the business goals and objectives. Another challenge is building trust with stakeholders, who may be skeptical of the reliability and accuracy of the analytics results. To overcome this, data analysts need to be able to demonstrate the validity and accuracy of their methods and results. This may involve using transparent and explainable models and providing clear explanations of the data and analytical methods used. By developing strong communication skills and using transparent and explainable methods, data analysts can overcome these challenges and deliver valuable insights and recommendations to stakeholders.

What would be the proudest or most enjoyable moment in your analytics career?

The proudest moment in my analytics career was when I was a key member of a team tasked with analyzing and understanding how to keep Australian kids interested in playing cricket. The challenge was that cricket was losing popularity among young people, and we needed to identify the reasons why and come up with solutions to reverse the trend. After conducting extensive research and analysis, we were able to identify several factors that were contributing to the decline in cricket participation rates. We recommended a series of initiatives aimed at addressing these issues, including updating coaching programs, promoting cricket through social media, and increasing access to cricket equipment in schools and local communities. Our recommendations were well received by stakeholders and were implemented across the country. We were thrilled to see a significant increase in cricket participation rates among young people as a result of our work. We received recognition as a strategic partner in the national cricket matches, which was a great honor for our team. Personally, I felt a great sense of pride and accomplishment in being part of a team that was able to make a tangible impact on the community. This project taught me the importance of collaboration, perseverance, and creativity in problem-solving, and reinforced my passion for analytics.

What advice would you give to a woman wanting to get into the analytics industry?

Breaking into the analytics industry requires hard work, persistence, and dedication. But with the right skills, networking, and a positive attitude, I believe women can succeed and build a rewarding career in this exciting field. Don't be afraid to speak up: As a woman, you might encounter situations where you feel undervalued or overlooked. It's essential to speak up and advocate for yourself, your skills, and your contributions. Believe in yourself and your abilities, and don't be afraid to take risks and pursue your goals. Build your skills: Analytical skills are crucial in this industry. Take courses in mathematics, statistics, computer science, and programming to gain a better understanding of the tools and techniques used in data analysis. Network: Attend industry events, join professional associations and meetups. Connect with professionals in the analytics field to learn about job opportunities and gain insights into the industry. Internships and projects: Take up internships and work on projects to gain practical experience and build your portfolio. Having a portfolio of work samples to showcase your analytical skills can be a great way to stand out when applying for jobs. Continuous Learning: The field of analytics is constantly evolving, and it's essential to keep up with new tools, techniques, and trends. Continuously learning new things can help you stay relevant and competitive in the job market. Seek Mentors: Identify women in the field who you admire and seek them out as mentors. They can provide valuable insights into the industry and offer advice on how to navigate the challenges you might face as a woman in a male-dominated field.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

In my point of view, analytics can play a vital role in reducing carbon emissions, mitigating the impact of climate change, and improving cyber security. By using data to inform decision-making and optimize processes, businesses and governments can work towards a more sustainable future. Carbon emissions: Analytics can play a crucial role in prediction the driving factors for the changes of carbon emission. These could suggest the management practice on reducing carbon emission and encouragring carbon seuqestration for more sutainable future. Climate change: Analytics can also be used to study the impacts of climate change on different regions, industries, and different changing scenarios. This can help governments and businesses make informed decisions about how to adapt to changing conditions and reduce the impact of climate change. Predictive analytics can be used to anticipate potential climate events, such as natural disasters, extreme weather conditions, or the spread of infectious diseases. This information can be used to prepare for these events and reduce their impact. Cyber security: Analytics is also an essential tool for cyber security. It can be used to detect and prevent cyber-attacks, as well as to identify potential vulnerabilities in systems and networks. Analytics can also be used to monitor and analyse user behaviour, allowing for more targeted efforts to prevent cyber-attacks.

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Liwan Liyanage

Senior Lecturer in Mathematics and Data Science. Member - Climate Change Digital Technology Task Force (IFIP  Initiative), Western Sydney University

In a normal day, what kinds of data / analytics activities are you involved in?

Teaching Data Science, Research in Applied Data Science for Social Good. Currently supervising 10 PhD students with Scholarships in Data Science.

What are the biggest challenges you face?

Data Issues includes, Data quality, Data being not in a standardize form, Data Security issues. Open data is still not user friendly.

What would be the proudest or most enjoyable moment in your analytics career?

Introducing and teaching Data Mining at the degree level and then the development of an integrated degree program titled B. Mathematics and Information Technology in 1999 to produce graduates with combined skills in Computing, and Mathematical Sciences for data driven modelling for decision making via data mining. Thus, pioneering in this area. Attracted good quality students who are leaders today.

What advice would you give to a woman wanting to get into the analytics industry?

For a woman, it will be a rewarding experience. When data Analytics skills are applied to make a difference to the  well being of the people and the planet, the impact and the reward it will bring will not limit to monitory gain.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Most Important: Be accountable to what you do and the Analytics process needs to be connected logically and open in every step of the way. 

Most Interesting aspect is the applicability of skills to wider range of applications

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Linda McIver

Executive Director, Australian Data Science Education Institute

In a normal day, what kinds of data / analytics activities are you involved in?

Developing teaching materials for authentic data science projects for primary & secondary schools

What are the biggest challenges you face?

The fear factor! Persuading teachers that this is something they can do.

What would be the proudest or most enjoyable moment in your analytics career?

My year 11 students contributing to cancer research for their computational science project, thanks to the opportunities I created for them with university academics.

What advice would you give to a woman wanting to get into the analytics industry?

You can do this! Don't let anyone tell you otherwise.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Ethical, human centred analytics.

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Nonna Milmeister

CDAO, RMIT

In a normal day, what kinds of data / analytics activities are you involved in?

I lead a full suite of Data and Analytics functions, including Data Governance, Advanced Analytics and AI and implementation of large data and analytics programs

What are the biggest challenges you face?

The more value we deliver, the bigger a demand for our services become. Prioritisation of strategic initiatives and innovation together with day to day requests is something that is always on my mind. In terms of organisation as a whole, providing wider access to data to our stakeholders while complying to all data security and privacy requirements is very important.

What would be the proudest or most enjoyable moment in your analytics career?

Seeing how our Senior Executives introduce themselves as Data Trustees, learning and accepting accountability for data and embracing change is very uplifting. Also, delivering great dashboards and analytics models that delight our stakeholders and seeing my team innovating and coming up with new and exciting ways to meet our stakeholders aspirations. This culture of innovation and team spirit is what makes every day a beautiful day.

What advice would you give to a woman wanting to get into the analytics industry?

This is the most interesting and rewarding career you can choose. It is an innovation galore with new tools coming to the market every day. Pick a company that is focused on innovation and learning and supports diversity. Look for culture fit and you will enjoy every day of your working life

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

We already seen how OpenAI changed our lives and challenged our thinking. People are always going to be more clever than machines, but we leave in the era of AI and be part of this journey is extremely satisfying.

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Alena Nadvornikova

Head, Business Insights and Analytics, The University of Sydney - Faculty of Medicine and Health

In a normal day, what kinds of data / analytics activities are you involved in?

Provision of insights/advice to key stakeholders for various purposes (strategic and operational, focusing on opportunity generation or process optimisation, tracking internal KPIs or looking at market and competitive intelligence); development of visualisations and dashboards, engagement with key players in our business and leading a team of fantastic number-crunchers. Above all, loving and being passionate about data!

What are the biggest challenges you face?

messy data, poor data literacy of key stakeholders, lack of data integration, a lot of data wrangling

What would be the proudest or most enjoyable moment in your analytics career?

too many :-) ...

What advice would you give to a woman wanting to get into the analytics industry?

the same I would give any man. If you love data, just DO IT! It's fun and, for the foreseeable future, hot!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

provision of analytical tools to the masses

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Richi Nayak

Professor, QUT

In a normal day, what kinds of data / analytics activities are you involved in?

Complex, multi-faceted datasets - generated through the interaction of machines and humans - pose new challenges to state-of-the-art machine learning methods. My research interest involves generating innovative data-driven solutions by developing novel machine learning methods to discover new advances. I have a driving passion to address pressing societal problems by innovating Data Analytics (DA) technologies underpinned by fundamental research in Data and Text Mining. In the last five years, my research has focused upon developing novel cutting-edge algorithms and systems to facilitate ‘Automated Information Extraction’ and ‘Knowledge Discovery from Domain-specific complex datasets’. My research leadership in state-of-the-art clustering methods based on the concepts of ranking-centred similarity, matrix/tensor factorization and manifold learning is recognised by my peers worldwide. I deal with all kinds of data but mostly focus on text data and time-series data to find useful and interesting information from them.

What are the biggest challenges you face?

As an academic data scientists, I work on several research projects where we develop the solution and hand over to clients/business for deployment. At times, we do not get to know how the solution has been implemented in the organisation and whether is it used to its full capability.

What would be the proudest or most enjoyable moment in your analytics career?

My work on misogynistic tweet identification. My team developed a novel and ground breaking solution at the time to identify abusive tweets or posts on social media. We used transfer learning in the novel way to build a language model (such as BERT) when these language models were not easily available. We made this model available to apply to resource-scare situations. This model was both academically and non-academically accepted and recognised.

What advice would you give to a woman wanting to get into the analytics industry?

Increasing the representation of women in critical technical data analytics roles takes more than just recruiting efforts. It starts with fostering an inclusive culture and improving access and opportunity for growth and advancement. Companies started to understand that they are better served by building and maintaining diversity, that reflect the broad diversity of their customers and our communities.

Women can bring a different mental toolkit towards data based products development. A team with diverse perspectives is better at challenging assumptions and identifying problems.

Enter this field with positive mind set and emphasizing that we bring change to this industry. Being women in Analytics also has advantages and the future is bright. We bring our own stand, different opinions and perspectives, and have a lasting impact on organizations. This makes us memorable, and people work very hard to be memorable.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

It is great to see that machine learning and AI based solution are easily being acceptable in industries. It remains to be seen their long-term impact. Over a few years, we will see more of autonomous solution based on machine learning techniques. They will be used for repetitive tasks. In future, how to balance the innovativeness of solution will be interesting.

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Alice Richardson

Lead, Statistical Support Network, Australian National University

In a normal day, what kinds of data / analytics activities are you involved in?

I’m collaborating with university researchers and postgraduate students to discuss everything statistical to do with their research projects! This can include design of studies, data management, analysis strategies and communication of results.

What are the biggest challenges you face?

Saying “no” – whether that’s “not right now” because a project will take more time than I have on hand, or “not that way” because a researcher has missed an important aspect of their data which makes the analysis more complicated than originally thought.

What would be the proudest or most enjoyable moment in your analytics career?

I’m proud of the PhD students who I have collaborated with across the course of their lengthy research projects, finally seeing their theses approved and their research published.

What advice would you give to a woman wanting to get into the analytics industry?

There are many organisations, groups and individuals who are keen to see you succeed so that there is no need to ever feel that you are alone in your workplace.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The most interesting aspect will be the space where statisticians bring their skills in study design and analysis, computer scientists bring their skills in data management, and discipline experts bring their knowledge of their own subject area to all help answer the really complex research questions of the future.

Energy & Environment
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Bhavika Unnadkat

Head of Data Analytics, governance and Knowledge Management, Energy Australia

In a normal day, what kinds of data / analytics activities are you involved in?

Leading data Teams 

Data Strategy 

Data Governance 

Technology evaluation and implementation:

Data Analytics 

Stakeholder Management

Talent Development

What are the biggest challenges you face?

Currently getting the buying for data governance across the business.

What would be the proudest or most enjoyable moment in your analytics career?

Successfully completing a complex data analysis project.

What advice would you give to a woman wanting to get into the analytics industry?

The analytics industry is competitive, so it's important to be persistent and confident in pursuing your goals. Believe in yourself and your abilities, and don't be afraid to take risks and try new things.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Increased emphasis on data privacy and security: As the use of data becomes more widespread, concerns about data privacy and security are likely to increase. Businesses and governments will need to implement more robust security measures and data protection laws to safeguard sensitive information.

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Melanie Zeppel

Lead Data Scientist, Carbon Link

In a normal day, what kinds of data / analytics activities are you involved in?

I manage my amazing team of Machine Learning specialists, source data from collaborators, including remotely sensed data, climate data, soil data, and process, upload to carbon spatial modelling software, and run machine learning algorithms to predict soil carbon for Australian landscapes.

What are the biggest challenges you face?

Dirty data, and spending time cleaning data is a common challenge. Working across time and spatially means that we need both carbon models combined with spatial modelling software. Sourcing data from a wide range of industry partners, who are all brilliant, with great products, but are highly sought after, means patience and negotiation skills outside my workplace are required. Being patient until I have all the data to run the model is my biggest challenge.

What would be the proudest or most enjoyable moment in your analytics career?

I was humbled and delighted to win 2022 Women in AI:Agribusiness award, a real surprise given the talent of women working in AI. Also, it was delightful bringing my daughter to  the 2019 Scopus Researcher of the year, for excellence in research impacting sustainable futures. I was also very satisfied to write some complex python code for an experiment on estimating Australian Carbon Credit Units, which now allows us to estimate if we need more field sampling for each property, very early on in the process.

What advice would you give to a woman wanting to get into the analytics industry?

Follow your passion, find great mentors and a cheer squad, and practice negotiating your salary and work conditions. I would also advise that they learn python early in their career (or R), and not leave it remarkably late, like me.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The abundance of data available to ask relevant questions, using machine learning to estimate soil carbon for carbon sequestration and abatement, are exciting future developments.

Government
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Surabhi Sood

Tech Lead/Data Scientist, Department of Employment and Workplace Relations

In a normal day, what kinds of data / analytics activities are you involved in?

Managing Data Engineering patterns. 2. Develop ML models.

What are the biggest challenges you face?

Bugs in cloud solutions

Making people understand how Data Science solutions are different than standard IT solutions.

What would be the proudest or most enjoyable moment in your analytics career?

Developed a prediction model with MLflow.

What advice would you give to a woman wanting to get into the analytics industry?

Upgrade your skills.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

MLOps Engineering

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Kate Zubrinich

Manager Data and Analytics, Local Government Association of Queensland

In a normal day, what kinds of data / analytics activities are you involved in?

My role is centred around providing data and analytics services to Queensland councils. Our mission is to provide digital leadership enabling better councils and better communities across Queensland. The services we offer are many and varied, from building enterprise dashboards helping councils gain insights on performance to analysing data in niche areas such as energy consumption and identifying anomalies. A large part of my role is to assist councils increase their data literacy and maturity.

What are the biggest challenges you face?

The biggest challenge we face is often culture change and assisting organisations with limited understanding of how data can be used to assist them in their everyday jobs. Often times the organisations we work with have very manual processes. Shifting them from these types of processes to more automated ways of working is confronting for people. Helping people to see how automating processes and providing insights into problem areas can help them be more focused in their role and free up their time to do the more important parts of their role is extremely rewarding.

What would be the proudest or most enjoyable moment in your analytics career?

In my previous role, I was in charge of a project that was implementing a cloud based data platform that included IoT analytics. One of the solutions we developed analysed data from smart water meters that had been installed a few years prior yet hadn’t been actively analysed. The analysis that we completed in the first few weeks of accessing the data identified a potential major water leak at a property that had been occurring for many months, costing the customer thousands of dollars a month. We were able to advise the customer who had the issue assessed and rectified immediately.

What advice would you give to a woman wanting to get into the analytics industry?

Believe in yourself and don’t listen to naysayers. In my first data role, my boss told me on my first day that he didn’t believe I’d succeed and to just do my best in my trial period. My guess on why he said this was that my education background (Bachelors of Psychological Science) and my employment history in call centres was not up to his standard. Within three years, I had achieved two promotions and was then his peer, not his subordinate. Having now worked in the IT / Data / Digital industry for many years, I have learned to back myself and to let my skills talk for themselves.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Predictive analytics and AI/ML is a massive area of growth across many industries. Being able to predict where problem areas are likely to be and focus efforts to proactively manage issues is key for pretty much every business. In the world of local government there is a long way to go in the maturity space before these sorts of processes can be implemented at scale and I’m excited to be on the journey with them.

The other area that is really interesting is the use of solutions like ChatGPT and how that is going to change the way we work into the future and what new employment opportunities will come about because of it.

Healthcare
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Alexandra Gorelik

Lead Biostatistician, Cabrini Health / Monash University

In a normal day, what kinds of data / analytics activities are you involved in?

The data I deal with depends on the projects I am part of. Sometimes I analyse data from large national trials/cohort studies or data linkage projects. Sometimes I work on small projects or help with KPI development, health economics

What are the biggest challenges you face?

The biggest challenge for me is finding the time for personal development beyond job requirements.

What advice would you give to a woman wanting to get into the analytics industry?

As we work in a very interesting and challenging industry, you need to be on top of the new technologies and get to the bottom of project requirements. there are times when you involved in the same type of projects but in many cases there is a variety of topics and analytic methods to be used.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Further developments in AI and ML.

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Joan Sison

Senior Reporting and Insights Analyst, Bupa

In a normal day, what kinds of data / analytics activities are you involved in?

A typical normal day for me involves meeting with business stakeholders to listen to their challenges and taking them through the journey of conceptualising data and analytic products. Part of the process also sees me getting hands-on with the technical side of analytics, designing data models and solutions, interacting with hosts of other data professionals, creating reports and dashboards, data analysis and surfacing gems of business and customer insights. Not a day is the same for me, lots of variety!

What are the biggest challenges you face?

The biggest challenge is trying to keep with the vast number of tools, methods and technology available to execute analytics. There so much new knowledge to acquire, but setting aside solid time to do self-study can be challenging at times with such a busy working week. It’s great to see networks like IAPA fostering a mindset of learning across the community of data analytics professionals

What would be the proudest or most enjoyable moment in your analytics career?

It would have to be leading and collaborating with a cross-functional group comprised of stakeholders from finance, sales, IT, operations, pricing, forecasting and reporting teams to address the question of fragmented view of contracts data. Under my leadership and direction, we tackled the challenge of fixing a long-standing problem with the completeness and accuracy of contracts data, a dataset that the business greatly depended on to manage its business well.

Under this initiative, I was able to deliver a solution that became the accurate and trusted single source of truth for key account sales management, customer retention and acquisition activities, budget and forecasting process, and contract data management. Seeing all my stakeholders finally able to self-service data on a daily basis really put a smile on my face!

What advice would you give to a woman wanting to get into the analytics industry?

Develop your stakeholder management skills and take them on the journey as you develop solutions for their business problems. Don’t be too focused on the tools, learn the basics of data constructs. Design solutions that are fit for purpose. Have a learning mindset and stay curious of new methods and techniques in data analytics. Widen your network of data professionals across different sectors. Don’t be afraid to ask questions and seek advice from those who been doing this journey for a while now.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I would like to see the use of data for effective health management to benefit the wider community as well equip individuals by having key health indicators data readily available to them to make decisions about their personal health. Having real-time access to data and accurately predict know when an underlying health condition needs immediate attention before it becomes serious, is life-changing technology.

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Rakshitha VS

Senior Analyst - Forecasting, Reporting & Insights, Bupa Australia

In a normal day, what kinds of data / analytics activities are you involved in?

Creating and maintaining dashboards/ data visualization Data Analysis Providing meaningful insights and recommendations to business/ operations to improve customer experience. Demand forecasting Budget forecasting Capacity / Workforce Planning Managing performance through metrics

What are the biggest challenges you face?

Data integrity is a big challenge with emerging digital world especially when we get data from various sources, where there are different logics to different disintegrated systems. It requires a lot of time and effort to curate the data and get to the bottom of it. Also unstructured data or poor quality of data, I feel can be quite challenging sometimes.

What would be the proudest or most enjoyable moment in your analytics career?

When the insights and recommendations I provided brought in big positive changes to way we work, giving great customer experience results, I feel happy about it. Also, when I find creative solutions to problems, I feel a sense of achievement and contentment. Story telling using data is interesting as well.

What advice would you give to a woman wanting to get into the analytics industry?

Women are naturally very creative. So, it is very easy for women to find creative solutions to issues on hand or curate the data in a creative way. I feel women can do great in this profession. Keep yourself updated all the time.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I feel very drawn to Artificial Intelligence and Machine learning. I feel this is the future. Advanced analytics is going to change the future like we have never known so far. I am super excited about having my career in this direction.

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Amy Zhu

Digital Insights Analyst, BUPA

In a normal day, what kinds of data / analytics activities are you involved in?

I am in the digital analytics team at Bupa. I am involved in combining online and offline data from SAS and Adobe Analytics to create meaningful insights that supports the organisations goals. I also work on various datasets such as member profiles, digital nps and using tealium data. Of course, data visualisation is autonomous with my line of work.

What are the biggest challenges you face?

-       Finding the correct data sources to use

-       Having the technology that can handle big data 

What would be the proudest or most enjoyable moment in your analytics career?


-       Being the go-to person when it comes to anything data or excel related

-       Love telling a story using data as factual evidence

-       Working with a variety of talented people from my previous workplaces who helped me grow to the person I am today.

What advice would you give to a woman wanting to get into the analytics industry?

-       Knowledge is teachable if you have the right attitude

-       Persistence takes you there, consistence keeps you there

-       Never assume anything when it comes to data and numbers 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

As I am involved in the digital space, I think the future of analytics would be to have a greater focus on personalisation in the ecommerce space. Following the pandemic with retail stores shut for long periods of time, I feel like there would be a strong push to have a robust ecommerce platform and personalisation growth.  

Insurance
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Katarina Dulanovic

Chief data officer, Allianz Insurance Limited Australia

In a normal day, what kinds of data / analytics activities are you involved in?

Ensuring alignment and delivery of our data strategy. That our major data and analytics initiatives are on track strategically aligned to support current needs with one eye on the future. 

Supporting my people and my wider data community of practise teams to mature our data culture in how we use,share,look after our data to deliver value.

What are the biggest challenges you face?

Data talent shortage at the moment is one of the biggest challenges. This is a global challenge so I am not alone.

What would be the proudest or most enjoyable moment in your analytics career?

Hard to say, there have been many great moment in my data and analytics career, however one that stands, from not long ago, was being on the judging panel for our Global (worldwide) Allianz Hackathon event, where I had the pleasure to see some amazing analytics solutions from over 160 talented data professionals. Very divers teams both in gender and cultural background. It was just amazing to see what could be done with data to contribute to one of the world biggest challenge Sustainability (hackathon topic). Really proud to see our Australian team participating and coming equal second place.

What advice would you give to a woman wanting to get into the analytics industry?

I would really encourage woman to take up data and analytics careers as we really need the diversity, that can only come from having more females in data related roles in Australia and across the world.  

Data and Analytics careers, whilst sometimes seen as challenging, they are also very rewording. Rewarding in the sense that in todays world, being in this career you are having the opportunity to shape the world of the future regardless of what industry you are working in. This sense of personal achievement is priceless.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The world of data and technology is rapidly changing. Technology solutions that can take up the speed and diversity of data through embedded automation such as AI, Robotic process automation etc are changing our world at speed.  

One thing I am passionate about with all this rapid change is that we ensure we use data for good, to ensure we are creating a safe and sustainable future, like ensuring we eliminate bias from our AI solutions, 'AI for good'. 

Ensuring we have divers' data workforce and appropriate governance in place is a mast and the responsibility of every Data and Analytics leaders across the globe.

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Elcin Kartal Koc

Senior Data Scientist, QBE

In a normal day, what kinds of data / analytics activities are you involved in?

If I start to a new project, I mainly focus on data exploration and discovery to understand the business process and needs, and building up a technical plan for the implementation of the application. If I am in the implementation phase, I usually spend time on coding, peer code-reviewing, testing, and making the implementation ready for deployment.

What are the biggest challenges you face?

The biggest challenge I face in this field is always being updated with the new enhancements in tools, methods, packages, etc. Sometimes this might need extra time and energy alongside your ongoing work and family life.

What would be the proudest or most enjoyable moment in your analytics career?

I am proud of myself being a hard worker in this field. But as the proudest moments I have ever had in my career I can talk about two moments: The first one is when I presented my PhD dissertation and the second one it when I got my associate professorship after half-day long assessment process in front of an academic committee. Although I did not continue my career in Academia, I have tried to convert the challenges I faced in that field into a gain in my career.

What advice would you give to a woman wanting to get into the analytics industry?

Be courageous. Instead of focusing on what you don’t know or insufficient at, focus on what you want to do, to learn and to achieve. I believe in that women can do everything but everything that they want to. Just believe in yourself. Don’t give an ear to don’t and can not’s. Just invest yourself and find your voice and your way.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

How we can use the analytics in good and control its growth ethically.

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Ruchi Priya

People Analytics Consultant, Allianz Australia Limited

In a normal day, what kinds of data / analytics activities are you involved in?

I am deeply involved with generating insights for HR and businesses for any of their people related problems/requests covering all facets of an employee from entry to engagement to exit. In my role I support in translating complex people related problem into simplified, tactical and actionable items that are always data driven. Also involved a great deal in building interactive dashboards and aiding the business and HR to self-serve a lot of insightful information. I also mentor the young interns & graduates in the team who are looking to build their career in this space.

What are the biggest challenges you face?

Very specific to People Analytics is the fact that not all companies have people analytics set up, which means there really is very little path-breaking projects on the horizon. There really has to be greater thrust towards optimising some processes in HR and actively moving towards increased data modelling and use AI in HR to bring more value.

What would be the proudest or most enjoyable moment in your analytics career?

My proudest moment hands down so far has been around exploratory research and analytics done to understand employee turnover and overlaying that with all possible employee related data gave some very interesting insights. Eventually was able to reject a lot of hypothesis from the business and at the same time bringing insights to influence the way we operate.

What advice would you give to a woman wanting to get into the analytics industry?

My advice would be to take the plunge with very keen eyes. As they say, devil's in the detail and therefore its very important to look at all aspects of data with great attention. Its an ever-evolving field and therefore keeping yourself relevant is necessary. it requires constant effort.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Now that there seems to be enough awareness about the power of data, maintaining data integrity and having rich and diverse data is critical. Also, AI is changing the face of the world very rapidly. The perfect synthesis of these would not only help solve a lot of business problems, but also help predict a lot of people driven issues. The foresight of what can happen would arm HR  & business to drive engagement and have the optimum utilisation of talent & skills in each sphere. Its a win-win for company and the employees.

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Patricia Zulkarnain

Specialist, Procurement Analytics, IAG

In a normal day, what kinds of data / analytics activities are you involved in?

I am part the analytics team that support the procurement function. The team is responsible in providing procurement related insights and analysis derived from data to benefit the business in relation to various procurement activities. The analysis can be provided in different methods, one of those is through report developments. As part of the process, in my day to day work, I work with various stakeholders to understand their requirements. Once, the requirements are identified, I will start the data collection process. It is very seldom the data I collected is in the structure that will be ready to use. So, for most of the time I will need to do the data consolidation, clean up and transformation process. This process normally consumed most of my time. After this process is completed, I will then start building the report. Depending on the requirements and the complexity, the report can be developed in different format. One of my favourites is when I need to do the report in dashboard format where I visualise the data using BI tools. I enjoy the creative process of presenting insights through visuals using different types of charts and graph where the data can be easily sliced in diced in interactive way. When the report is ready, I will present and communicate the insights back to the stakeholders. The process is iterative in nature in my work.

What are the biggest challenges you face?

My biggest challenge is always data quality. So many times, data is not always ready in the form that can be utilised immediately. In addition, data source for analysis rarely derived from a single source but many different sources. In this situation, data structure and format are not always the same. Data consolidation and transformation process is crucial in preparing data to the expected format. However, this is not always an easy process. Another thing, finding the right methods to transform the data can also be challenge as there is no one size fits all.

What would be the proudest or most enjoyable moment in your analytics career?

Working in many different projects, my most enjoyable moment is when I was able to provide insights that can be utilised by my stakeholders to influence their business decisions and achieve the intended benefits. In relation to my role within the procurement function, when the team is able to utilise the insights for the negotiation to achieve a better deal or in other cases to enable the significant cost reduction, it’s the moment that I feel that my contribution matters.

What advice would you give to a woman wanting to get into the analytics industry?

I would say just go for it. It might seem daunting at first but there are so many resources out there to learn from and the opportunity is massive as the skills are applicable to various industries. I personally decided to get into analytics industry after a long period of career break and wanted to go back to corporate world. I went back to university and took the study in Business Analytics. That was one of the best decisions I'd ever made. Through that study I am now able to achieve something that I would never consider before, and for me analytics has been one of the most exciting industries so far in my career journey. So, as long as there is a willingness, nothing is impossible.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

In general, the adoption of AI, machine learning and real time analytics where insights can be derived in an instant will set the future. However, this depends on the organisations maturity and speed in adopting analytics into their business. From the procurement perspective, currently the biggest priority is still cost savings so most of analytics activities are descriptive in nature, looking on what had happened in the past. So, there is so many opportunities in adopting advanced analytics technology like AI and machine learning into procurement space. Being able to look into future trend and opportunities in an instant as well as to tackle issues like very complex spend categorisation will drive improvement in team’s efficiency and productivity.

Media & Entertainment
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Liz Moore

Head of Audience Data and Insights, ABC

In a normal day, what kinds of data / analytics activities are you involved in?

Developing strategy for data and tech environments which support insight generation; providing advice and guidance to senior decision makers to support business decisions - from organisation strategy, day to day business decisions like content commissioning, scheduling, marketing campaigns.  Developing work plans for projects. Working with analysts, data engineers to review pieces of work and progress against plan.  Coaching and mentoring team members.   Taking stakeholders through the results of analytics projects and guiding and shaping decisions based on audience data.

 

What are the biggest challenges you face?

Keeping the data environment up to date with rapid advancements in technologies.  Ensuring me and my team members keep their skills fresh and on the leading edge in a rapidly changing tech world.

What would be the proudest or most enjoyable moment in your analytics career?

Working with teams of amazingly smart analytics professionals to shape the strategic direction of the companies I’ve worked for..  Knowing that the analytics and insights we provide has helped shape the organisations we work in, is incredibly enjoyable and fulfilling. 

What advice would you give to a woman wanting to get into the analytics industry?

Technical skills are the price of entry to the profession, what will super charge your career is the ability to collaborate with stakeholders and communicate complex ideas simply and easily.  Learn the language of the business you work in - read the annual report; the organisations strategic plan; find a mentor outside of analytics who can help you navigate the organisation.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

How automation through AI will enable us to do more, unlock more insights, and have greater business impact. 

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Vanessa Ngothanh

Insights Lead, ABC

In a normal day, what kinds of data / analytics activities are you involved in?

Extract audience data from multiple data sets, interpret audience media behaviours and turn it all into strategic actionable insights.

What are the biggest challenges you face?

De-duplication of audience across multiple media channels and platforms.

What would be the proudest or most enjoyable moment in your analytics career?

Being part of the team that launched Smooth FM in Brisbane, Adelaide and Perth.

What advice would you give to a woman wanting to get into the analytics industry?

Do it, nothing to lose and so much to gain!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Modelling the unpredictable future.

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Lydia Yao

Senior Digital Analytics Consultant, SBS

In a normal day, what kinds of data / analytics activities are you involved in?

Analytical projects to support strategic decision making such as content placement, digital platform design and product features.

What are the biggest challenges you face?

Being in media, there's constantly new data types/fields we need to evolve our analytics to cater for, but that also keeps it exciting!

What would be the proudest or most enjoyable moment in your analytics career?

Empower senior leaders with solid data evidence to drive key strategic priorities and identify opportunities where we can improve the digital audience experience at SBS.

I'm also very proud to be part of an organisation that showcases diversity in our content to inform, educate and entertain all Australians.

What advice would you give to a woman wanting to get into the analytics industry?

Be courageous and remember you are just as capable as your male counterparts!

It's about finding actionable insights and communicating them effectively and women are natural communicators!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think the intersection of VR and analytics is super interesting and possesses significant potential!

Research
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Kirti Khanna

Director, Nielsen Pvt Ltd

In a normal day, what kinds of data / analytics activities are you involved in?

I am a huge evangelist of applying analytics in your day to day tasks, be it with your clients or for your internal business. Exerting strategic leadership backed by data has helped me achieve double-digit growth for my team at Nielsen and 2-8% sales growth pa for clients in my portfolio. 

While understanding ever-changing business needs is our prime objective, being ahead of the curve by enhancing & developing current analytical products is equally important, and is one of my key focus areas at Nielsen.

My team is extensively involved in solution design and use multiple analytical approaches to tailor specific solutions for our unique client needs. In addition, we support all stakeholders through the entire implementation and change management process.

What are the biggest challenges you face?

With the democratization of data, there is a need to regulate & balance innovation with risk & control.

What would be the proudest or most enjoyable moment in your analytics career?

COVID-19 disrupted many businesses and their planned go-to-market strategy. This affected their short-term execution plans, thus as part of the remediation measure, it was exciting as well as challenging to formulate strategies in the new paradigm, helping businesses realise higher returns on investment.

What advice would you give to a woman wanting to get into the analytics industry?

Discover your unique work style and focus on building soft skills as much as your technical skills.

The analytics industry needs tech-savvy professionals to execute computational analysis of the data as well as storytellers who translate complex findings to an adaptable business language.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

With Data becoming the new currency and the introduction of more powerful computational tools, Machine Learning is helping with scalability and speed. However, it will be interesting to see how unsupervised machine learning replicates human reasoning & intelligence in the future.

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Annabel Lui

Principal Advisory Director, Info-Tech Research Group

In a normal day, what kinds of data / analytics activities are you involved in?

Empowering and helping our members with best practice framework and tools to build their data and analytics strategy is my primary role at ITRG. I also write research on data literacy.

What are the biggest challenges you face?

Helping member to unlock the value of data is the goal but also challenge in my role.

What would be the proudest or most enjoyable moment in your analytics career?

 

What advice would you give to a woman wanting to get into the analytics industry?

It is good to explore your company's LMS courses or online free courses outside of your company to learn more, and leverage your company's analytics tool/platform as those may have some training courses on how to use the tool.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Data literacy skill will be the number one priority for any company which strives to become data driven organisation.

Retail
Click on a name to understand each person's role, proudest moment, greatest challenges and advice for women thinking of a future in analytics.
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Samantha Batchelor

Data Visualisation Lead, Woolworths

In a normal day, what kinds of data / analytics activities are you involved in?

Current and previous roles have included data visualisation using Tableau, strategy and roadmaps, planning and Tableau Server administration and support.

What are the biggest challenges you face?

Managing changes in upstream source systems, which flow downstream to data warehouses and visualisations. Can be extremely challenging to understand the changes, assess the impact, and iterate data and visualisation layers so as to minimise the downstream impact on our audience.

What would be the proudest or most enjoyable moment in your analytics career?

Working on the BI solution for the London 2012 Olympics and seeing our stats on the BBC

What advice would you give to a woman wanting to get into the analytics industry?

Analytics is a great option for a very rewarding career, and I would highly encourage any women who are looking to get into these fields. I am lucky to wake up each day and enjoy what I do! Recently there are many more opportunities for analytics jobs to be remote or hybrid, so you can fit your job amongst the other responsibilities in life - such as family.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Data visualisation is a wonderful mix of STEM (what is the data telling you) and art (how do you communicate these insights to your audience), and I think ML and AI will enhance both of these aspects and enable us to engage our audiences more.

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Anshu Chaudhary

Director - Business Analytics, JLL

In a normal day, what kinds of data / analytics activities are you involved in?

Data modelling & Management, Data governance, Data Engineering and Data Visualisation are the core activities that we do as D&A team at JLL. 

I have been hands-on on the tools for 17+ years now  but my as of today my day-to-day job demands more of relationship management with executive stakeholders. Both to share highlights of the work my team are delivering to help them achieve their business outcomes, and/or understanding their business goals and problems to identify opportunities to add value with data and analytics.

What are the biggest challenges you face?

1. Data quality /Data collection gaps

2. Data Literacy / User Adoption

3. Quantifying value / realisation of ROI that we bring as D&A team

What would be the proudest or most enjoyable moment in your analytics career?

I was shortlisted as "Data Leader of the year" award in 2022. I am very proud of the recognition received and the fact that I am representing my organisation for the work done by our team. This is not just  a single most enjoyable moment but I enjoy every aspect of my job which usually usually entails guiding the smart technical people to develop some really impactful insights with a quantifiable outcome. Moreover, I love getting the business users excited about the new possibilities. And finally when we see our work helping the business progress toward their goals and priorities by giving them ability to identify the actions required is incredibly rewarding.

What advice would you give to a woman wanting to get into the analytics industry?

My advice for anyone looking to get into anything new is to take the first step and do it.

Women are naturally inclined to better understanding the needs and analysing the situation, solving the problems creatively. All we need is to learn how to do the same using data and information presented. The demand for such roles is very high at the moment, be it any industry. If we can leverage the business knowledge combined with some tech skills, that the best outcome for both the individual and the business.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

AI and Machine learning is the future. Now that we are sitting on the wealth of information , using data Ethically and maintaining the security/privacy of data are going to be the most important aspects in near future.

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Kathryn Gulifa

Head of Data & Analytics, Catch

In a normal day, what kinds of data / analytics activities are you involved in?

Lots of meetings, understanding business strategy, goals and priorities so I can make sure we're working on aligned initiatives. And meeting with my team to understand where things are at so I can update stakeholders, help remove roadblocks or obstacles, and prioritise if there is competing demand. Then inbetween I'm spending time on the Data Strategy, Data Governance initiatives and building the brand of the Data & Analytics team by sharing our successes with the business.

What are the biggest challenges you face?

Supply and demand problems exist in every organisation when it comes to Data & Analytics. The biggest gift I can give my team is ruthless prioritisation and being a gatekeeper to distractions from our key priorities. And then building the plane while flying it - that is, the need to build new data products while maintaining existing operations.

What would be the proudest or most enjoyable moment in your analytics career?

I really enjoy building new teams and seeing them come together and do great things. When I see my team happy and proud of their work and being valued and appreciated by their business stakeholders, nothing beats that.

What advice would you give to a woman wanting to get into the analytics industry?

Data & Analytics roles are a mixed of three skills - Computing, Statistics and Soft skills/business acumen. You don't need to be an expert in all three categories to be successful in an Analytics role. If you have an interest in using data to solve important business problems then reach out to your resident Analytics Lead, an industry leader, or myself(!) and start a conversation about what you enjoy doing and what roles might be aligned to your skills and interests. We need more women in analytics and progress over the past decade has been too slow.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Certainly the evolution of privacy laws will play a role in how we apply and manage analytics. There are strong focuses in Health and Sustainability that will be gamechangers. And Cyber Security is right at the top of the agenda with the recent publicity of data breaches. I find the evolution of the workforce interesting and how we continue to deliver in tough economic times, with a hot talent market and ever-increasing business demand and expectations.

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Edith Leung

Data Analytics Manager, Hipages Group

In a normal day, what kinds of data / analytics activities are you involved in?

Provide direction for my team, oversee their work and ensure its accuracy. Also, work closely with leaders across product and finance to support and implement high-quality, data-driven decisions.

What are the biggest challenges you face?

To enable the business to be more self-serve in data analysis 

What would be the proudest or most enjoyable moment in your analytics career?

Success of my team

What advice would you give to a woman wanting to get into the analytics industry?

Be humble, not afraid of change and keen to learn 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

It will shift heavily to machine learning. Having said that, I still think the basics like descriptive, exploratory and diagnostics analyses cannot be ignored

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Tracy Lewis

Analytics Chapter Lead, Endeavour Group

In a normal day, what kinds of data / analytics activities are you involved in?

My days are always filled with activities that aim to unlock the true potential of our data. One of my primary responsibilities is to lead a team of talented analysts and provide them with the necessary tools, techniques, and storytelling skills to produce compelling and impactful analyses.

I collaborate closely with stakeholders across the business to understand their needs and identify opportunities where analytics can provide meaningful insights to address critical business questions. This requires an in-depth understanding of the business's operations and objectives, as well as a deep appreciation of the role that analytics can play in driving success.

In addition to building advanced analytics capabilities, I am also jointly responsible for laying the data foundations that support efficient and effective analytics processes. I work hard to ensure that our team of over 200 advanced analytics professionals at Endeavour are aligned and consistent in their approach, enabling us to deliver high-quality insights that drive real business impact.

What are the biggest challenges you face?

Often we're caught up with using shiny new tech, building eye-catching dashboards, fancy visualisations. However, I've realised that the real challenge lies in staying connected with the human element of our work, the 'why' behind every analysis. Despite being a data analyst, I strongly believe that the most powerful tool we have is effective storytelling, as it has the potential to influence and drive decision-making. Data is simply a means to support our message.

At the same time, I face the personal challenge of keeping up with rapidly evolving technology in the data space. It's important to distinguish between the useful innovations and passing fads, and to ensure that we are constantly improving our abilities and staying at the forefront of our field.

What would be the proudest or most enjoyable moment in your analytics career?

One of the most rewarding moments in my career occurred while working at one of Australia's largest superannuation providers, where I had the opportunity to collaborate with our corporate and government affairs team on understanding the Gender Super Gap. Through my analysis of member data, I was able to not only identify the stark disparity between men and women's superannuation savings but also uncover the most vulnerable demographics and life stages where this issue was most pronounced.

The impact of this analysis was far-reaching and gained media attention, which played a pivotal role in shaping government policy and legislation changes to address the issue. The ability to apply my analytics skills to bring about tangible and meaningful change for women across the country is, without a doubt, the proudest and most fulfilling moment of my career. It motivates me to continue pushing boundaries and using my expertise to create positive change in the world.

What advice would you give to a woman wanting to get into the analytics industry?

Your attitude and motivation are just as important as your technical skills. While it's essential to have a strong skillset, what sets successful analysts apart is their ability to think logically, solve complex problems, and stay curious.

Don't be afraid to ask questions and seek support from others, especially those you admire in the industry. Be open to learning and continuously growing your skills, both technically and professionally.

Remember that analytics is a rapidly evolving field, so staying up-to-date with the latest trends and technologies is critical. By cultivating a growth mindset and embracing new challenges, you can position yourself for success in this exciting and dynamic industry.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The most interesting aspect of the future of analytics is the rapid advancement of AI and NLP technologies. The rise of no-code platforms and NLP visualization software promises to revolutionise the role of a data analyst, opening up new opportunities for us to drive business strategy and create meaningful impact.

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Ellie Liao

Data Analyst, Catch

In a normal day, what kinds of data / analytics activities are you involved in?

website traffic, product A/B testing, marketing campaign performance

What are the biggest challenges you face?

communicate with stakeholders

What would be the proudest or most enjoyable moment in your analytics career?

 

What advice would you give to a woman wanting to get into the analytics industry?

work smart and keep learning

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Self-service data analysis has become the next big thing in data analytics through cloud-based management systems.

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Michelle-Joy Low

Head of Data & AI, Reece Group

In a normal day, what kinds of data / analytics activities are you involved in?

Everything I do is focused on embedding data and analytics in our DNA; value from analytics is only realised when behaviours and decisions are changed to drive advantage – at all levels of the organisation. So no two days are the same; I’m deeply engaged with:

- Executive leaders on topics of investing in analytical capability, data governance & literacy, designing future operating models

- My team on analytical platform and organisational architectures future replete with opportunities across ML products, analytical decision-support and BI, and;

- Business and vendor partner teams all across Reece shaping domain strategies and the data capabilities (people, process, technology, data assets) needed to drive success

What are the biggest challenges you face?

Having to invest additional energy and time to overcome stereotyping around my gender, race and perceived age

Beyond personal attributes, data has seen a large number of recent advancements, and many Australian organisations are facing challenges keeping pace and grasping the need for investment and executive sponsorship

What would be the proudest or most enjoyable moment in your analytics career?

There has not been a single moment. My greatest satisfaction has been witnessing teams fundamentally change how decisions are made using data & intelligent technologies, and seeing our customers and people better off for it.

What advice would you give to a woman wanting to get into the analytics industry?

The path for women in analytics is not yet well worn. For anyone blazing a trail, facing challenges is inevitable. Persist, be the change you want to see – the work is never don’t, so celebrate every bit of progress made.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Analytics will become table stakes. Two decades ago, knowing Excel was a differentiating skill in the workforce; Analytics will likely go the same way. What’s interesting to me is academic institutions, organisations and the current workforce will adapt to that change.

In a world where data & analytics is ubiquitous, I am excited to see how companies build and gain competitive advantage.

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Natalie Mardell

Analytics Practice Lead, Endeavour Drinks

In a normal day, what kinds of data / analytics activities are you involved in?

Advanced Analytics spans the Endeavour Group. We're involved in Customer, Product, Performance, and Marketshare to support strategic initatives and growth. 

We use data to bring people together; connect communities, whilst acting responsibly; and innovate.

What are the biggest challenges you face?

We support a very data-hungry community who love to use data in their day-to-day decision making.

What advice would you give to a woman wanting to get into the analytics industry?

Seek adventure and challenge; analytics solves many puzzles across all facets of business and industry.  Be a bold story teller and work hard to understand the why and bring meaning to all data.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Analytics has many horizons and evolutions. I think keeping focused on people and relevance is critical for the future.

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Amanda Meegan

Senior Analyst, Woolworths Group

In a normal day, what kinds of data / analytics activities are you involved in?

I work with People data to provide insights for Australia's largest employer - helping leaders comprehensively understand their teams to create a better working life for employees and foster a more diverse and inclusive workplace.

What are the biggest challenges you face?

Advocating for equity in a field that is known for having less female representation.

What would be the proudest or most enjoyable moment in your analytics career?

Taking my analytics career international and moving to Australia!

What advice would you give to a woman wanting to get into the analytics industry?

Be versatile. Learn digital analytics tools like Adobe Analytics/Google Analytics in addition to coding based tools like SQL/Python. And never forget the importance of soft skills, communicating your insights effectively can drive incredible impact!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think what will be most interesting is what aspects of analytics we will be able to rely on AI/ML for, and what aspects will still need uniquely human input.

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Anna Mikhaylova

Business Analyst, Jones Lang LaSalle

In a normal day, what kinds of data / analytics activities are you involved in?

Gathering requirements for BI products from business owners. Documenting requirements into requirements briefs, and presenting them back to users to confirm and sign off on delivery scope. Educating users on BI products capabilities. Preparing training material for automations for business users. Developing and delivering project plans.

What are the biggest challenges you face?

Working for the global organisation, there are many moving parts and stakeholders involved with each BI product we develop and deliver. Making sure that the communication channels between all stakeholders are working and no break downs happen in the process is one of the greatest challenges in my work.

What would be the proudest or most enjoyable moment in your analytics career?

Even the fact that I managed to find an opportunity to move into data, business intelligence and analytics I consider as one of the proudest moments in my career. I worked in finance for many years, and managed to take advantage of opportunity to move over when there technically was no position available. For me it was one of the greatest achievements.

What advice would you give to a woman wanting to get into the analytics industry?

It's important to get your foot into the door - whichever way you can, and then keep your eyes peeled for opportunities around you. Most importantly, don't be afraid to make sure that people around you, who can help you get into your dream job, know what you are aspiring to be. Sometimes, just having your name in mind of the right person will open road for you when opportunity arises.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

How will the new developments in AI change the playing field for analytics and business analysis. Will all that required from us soon be just to give a task to AI engine, or will it just become another productivity tool that analysts will be able to utilise?

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Ashima Pahwa

Snr BI Manager, JLL

In a normal day, what kinds of data / analytics activities are you involved in?

My day-to-day data activities involves data wrangling, data cleaning and aggregating it to be ready for analysis. From the source of inception, in its raw form to make it available for Self-serve analytics.

What are the biggest challenges you face?

The biggest challenge that I face till date is the data silos. SMEs of data do not want to share the data and are happy to continue working by themselves. 

What would be the proudest or most enjoyable moment in your analytics career?

The proudest moment in my career is not when I made complex regression model to predict the outcome but was when my customer started to use my analytics on daily basis. This happened because I produced a simple “Ask Questions” view for them so they didn’t have to uncover what a big dashboard is telling but simply ask the questions about their data in natural language.

What advice would you give to a woman wanting to get into the analytics industry?

My advice would be to have an end goal in mind. The analytics industry has grown tremendously in last few years after so many organisations have realized the importance of data, hence it can be overwhelming for anyone wanting to enter this avenue.

There are so many roles which have an overlap & we don’t have to be specialized in everything to be able to take our role effectively. We take a skill whether its visualization or its data governance & grow mastery in that and then progress from there.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Since Chat Gpt has taken world by the stroam , people are amazed by the level of  services provided by conversational AI bot. I think if we can take those capabilities of open ai on organizational data, we will be able to drive adoption and tackle data qualities issues.

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Kimly Scott

Analytics Manager, Luxasia

In a normal day, what kinds of data / analytics activities are you involved in?

In a normal day, my work involves wrangling data, building out reports, dashboards and visualisations and looking for ways to help my team and my organisation work smarter with data.

What are the biggest challenges you face?

The biggest challenge I face is finding the right balance between juggling career and family. With two young children, it’s hard to find the time and the focus to work on advancing my career both within my organisation and through my personal work. I’d like to be able to create more, volunteer, mentor - but with the time and energy commitment of a day job and family - this is not always possible.

What would be the proudest or most enjoyable moment in your analytics career?

I’m most proud when I know that I have inspired someone with my work. When I receive messages from those starting out in data visualisation or analytics to tell me that they like my work or my work has inspired them, it always makes me smile. There is no greater feeling to know that I have helped someone on their journey.

What advice would you give to a woman wanting to get into the analytics industry?

My advice would always be to build your network. Connect yourself with other analysts or join a community. There are many groups and organisations out there that are purely female focussed too. These groups work to connect, educate, and inspire those in their community.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

In terms of the future of analytics, I think it would be interesting to see how data can be used for good - to make a change in the world. We know how organisations can use data to make decisions and turn a profit, but what good can data do outside of this?  For example, how can we use data to combat climate change, tackle poverty, and improve health. I’d really like to see how we can harness data for good and enact positive change in the future.

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Nicola Shawyer

Customer Insights Manager, Cotton On

In a normal day, what kinds of data / analytics activities are you involved in?

A good mix of time 'in the data' with various tools, as well as lot's of stakeholder collaboration. Top of mind throughout, is ensuring the right questions are being asked of the data, with the right benchmarks and that the resulting 'story' is synthesised to be clear, concise & visual.

What are the biggest challenges you face?

I love the balance of technical and softer skills in my day - always have. The challenge is having the time and head space to ensure we're constantly helping pave the way for better data literacy, democracy and governance across the business.

What would be the proudest or most enjoyable moment in your analytics career?

Many moons ago when I was on agency side, I faced a frosty reception from a CEO on value (or cost) of their loyalty program, vs their preference to spend on above the line media. As always, the data did the talking and I was able to show not only how valuable these loyal customers were, but how we could better understand them and even communicate  with them in a more relevant way, because of the program. They subsequently caught the 'bug' and invested heavily in their data, program and customers.

What advice would you give to a woman wanting to get into the analytics industry?

The biggest antidote to lack of confidence is knowledge, which in turn comes from curiosity. If I know my stuff I can always talk & engage confidently. So be curious. Ask a lot of questions, and embrace questions back (as that's a way to ensure stakeholders are confident and have understood you well also). In turn, the data will enable your stakeholders to make better, more confident decisions & discussions too. And always remember you're in the room because you're the expert, the one closest to that subject.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Data literacy. I think technologically there's been amazing advancements in the last decade handling the 3 V's of data as well as accessibility of BI, visualisation and ML. Whilst the data doesn't lie, it is definitely easy to go down rabbit holes and wrong turns and it can definitely mislead if you're looking at (or for) the wrong thing. So as the proportion of people accessing & using data continue to scale, the skill set needs to scale with it.

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Nadeesha Shyamali Ekanayake

Senior Data Analyst, Hipages Group

In a normal day, what kinds of data / analytics activities are you involved in?

Product analytics to improve the product experience for the users. 

Work closely with delivery and business teams and responsible for generating data driven insights and identifying business opportunities.

Development of Dashboards for data storytelling and for data Visualizations.

What are the biggest challenges you face?

Measuring qualitative KPI metrics

What would be the proudest or most enjoyable moment in your analytics career?

Winning Bravo Award for contribution made in improving net promoter score

What advice would you give to a woman wanting to get into the analytics industry?

If you made up your mind that you can do this, you have already taken a head start. Once you start the journey there's enough and more resources available. Grab all the opportunities, do research and stay committed and true to yourself. your commitments, abilities and skills will be paid off with a rewarding career.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

real time data analytics with real time data refresh and availability of data for everyone to consume

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Sruthi Soundarapandian

Data Analyst, Hipages group

In a normal day, what kinds of data / analytics activities are you involved in?

Data extraction, exploration and analysis, visualization

What are the biggest challenges you face?

Outdated and inconsistent data in database create challenges in drawing actionable insights

What would be the proudest or most enjoyable moment in your analytics career?

Ability to create story from data and insights that are easy to understand for stakeholders

What advice would you give to a woman wanting to get into the analytics industry?

Continuous learning and awareness about current market scenario and technology

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Ability of machines/AI to take over human effort in doing things

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Vaishali Tiwari

Director - Performance and Insights, JLL

In a normal day, what kinds of data / analytics activities are you involved in?

In a normal day, I'm usually involved in customer solutions, data pipeline, and generating insights. I'm also responsible for highlighting focus areas for the team. For example, if we're working on a project for a specific customer, I'll review their data and analytics needs to determine how best to approach the problem. This might involve building a custom data pipeline or report, or it might simply be providing them with some insights based on our existing data. In either case, my goal is to help our team deliver value to our customers.

What are the biggest challenges you face?

One of the biggest challenges is that some people are not open to change. They resist change to existing processes and do not fully trust the results of analytics. This can make it difficult to get everyone on board with new initiatives. Another challenge is that depending on manual inputs can be time consuming and prone to error. This makes it difficult to get accurate data in a timely manner.

What would be the proudest or most enjoyable moment in your analytics career?

For me, it is when I am able to make a real impact on the strategy of a company or aid in changing an existing process to reach that goal. It is gratifying to know that my work is having a real and positive change on the business. These moments reflect the value that analytics brings to organizations and help solidify my role as a strategic partner within the company.

What advice would you give to a woman wanting to get into the analytics industry?

If you're a woman who's interested in getting into the analytics industry, my advice is to go for it! You're already analytical by nature, and extending that into your professional life will only make you more successful. Curiosity is key in this field - keep asking questions and looking at the world through a data lens. You'll be amazed at what you can discover. And finally, don't forget that you're part of a wonderful community - there are lots of people out there who are willing to help you on your journey.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

AI and predictive analytics will continue to revolutionize the field of analytics. By providing real-time insights, AI will help businesses make more informed decisions and enable them to operate more efficiently. In addition, predictive analytics will become increasingly important as we strive to anticipate future trends and understand how they will impact our lives and work.

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Demelza Wilson

Senior Data Scientist, Jetstar

In a normal day, what kinds of data / analytics activities are you involved in?

I build statistical models using data from many internal/external sources to predict activity and behaviours across customers, processes, employees, and more.  

In a normal day I spend a lot of time obtaining and analyzing data, identifying patterns, insights and thinking about the bigger picture, future impacts and potential innovation.  I also spend a lot of time building and testing models and learning new technologies, coding and techniques to advance my models and constantly improve.

What are the biggest challenges you face?

The biggest challenge I face is data integrity.  It is a constant frustration and absorbs a lot of my time.  Another challenge is system connections and technology which does not always work as planned.

What would be the proudest or most enjoyable moment in your analytics career?

Designing and implementing a speech analytics platform and using the platform to build insights, models and reporting to guide decision making from the executive level right down to the team level.

What advice would you give to a woman wanting to get into the analytics industry?

Be bold, be brave and speak!  Ensure you understand data processes and always question what you see.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think the most interesting aspect of future analytics will be seeing models come to life quickly, therefore guiding decision making much faster and being able to see the results quickly too to test and improve both models and the initiatives that use the models.

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Jue

Graduate Analytics Engineer, Wilson Group

In a normal day, what kinds of data / analytics activities are you involved in?

- Monitored the ETL process

- Modify the C# script in SSIS to add new endpoint to the data warehouse

- Load the data into SSAS cube and modify it layout in PowerBI dashboard

What are the biggest challenges you face?

As a recent graduate international student, I am confident in my professional knowledge. However, improving my English communication skills is currently my biggest area of need.

What advice would you give to a woman wanting to get into the analytics industry?

My advice is not to focus on being a woman. Everyone is equal and should focus on enhancing their skill sets and preparing well for interviews.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Continuous learning and innovation can keep one passionate about their work.

Technology
Click on a name to understand each person's role, proudest moment, greatest challenges and advice for women thinking of a future in analytics.
Lily Clarke  Photo

Lily Clarke

Government Presales, Lead for Health and Life Sciences, SAS

In a normal day, what kinds of data / analytics activities are you involved in?

One of the beautiful things about my role is the sheer variety of projects I get to work on that use data and analytics in a positive way to inform decisions and make valuable and impactful change in the world around us. Working for an analytics vendor like SAS, as the analytics landscape adapts, my role does too.

Some of the activities I frequently find myself doing now are supporting government agencies to uplift their analytics efforts to improve citizens’ experiences and outcomes, analysing data myself to develop meaningful technology demonstrations or deliver on specific projects, and mentoring and guiding the next generation of STEM leaders. 

I’m currently working on a project to improve early interventions for children at risk using statistics, geospatial analysis, machine learning and natural language processing. The project team is all women from around the globe, with altruism and kindness at its core.

What are the biggest challenges you face?

My biggest challenge is working across siloes – data, technology and people siloes. Connecting a team of people to act and break these down in an appropriate and positively impactful manner is tricky, particularly when politics and power are thrown in the mix. I also often find people who are pro-change, for everyone but their team, which again is a tricky thing to manage. 

Working in government, I also encounter a lot of sensitive topics, which while being involved in the teams trying to improve the outcomes is great, sometimes can take a toll on you at a personal level. Having a fantastic support group has been vital to my success in these areas.

What would be the proudest or most enjoyable moment in your analytics career?

I’ve worked on some amazing and groundbreaking projects including helping medical professionals triage at-risk sepsis patients, assisting child safety workers to identify early warning signs of child abuse and neglect in case notes, and using a deep learning algorithm to screen for breast cancer in tissue sample images. Having a positive impact on the community is so fulfilling! 

I have also had my work recognized by the Australian Reseller Network (ARN) at the Women in ICT Awards (WIICTA) 2022, as the Rising Star in the vendor category.

What advice would you give to a woman wanting to get into the analytics industry?

It might sound cliché, but you have to truly believe in yourself. Picture yourself in the role you want to be in, on the project you want to work on, with the recognition you want. Speak about the great work you are doing as if you’ve already done it and achieved it. If you show others you value your own diversity, experiences and unique perspective, they’ll follow suit and help you achieve your goals. 

Also, don’t be afraid to stand out a little in what you do. Be authentically you, be open about your goals, and be “unignorable”. Whether that’s talking yourself up, or simply wearing the pink suit, the rest will fall into place.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?


I’m most interested in how we as a community maintain ethical practices in health data and analytics.

While maintaining the privacy of health data is clearly of importance due to misuse of information – think biosecurity keys and insurance premiums for having genetic markers - I can also see huge benefit to a more holistic view of health and wellbeing with relationships between bodily systems becoming clearer as research evolves. 

The discussion then becomes how much data is shared and with who. Thinking from a broader point of view, who owns that data? Is it the individual who may not necessarily be analytically literate to interpret their own data, let alone keep it secure? Is it the provider of treatment – how is that managed for multidisciplinary conditions, or across a consolidated national health system? Or health insurers who may hike the costs for those unknowingly predisposed for adverse conditions? 

It's certainly going to be a challenge and a delicate balance however the space evolves. 

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Cathy Daniels

Head of Delivery, Frisk

In a normal day, what kinds of data / analytics activities are you involved in?

Frisk is an Adelaide-based data intelligence company. We deliver next-gen data augmentation and decision optimisation solutions, to private and public sector clients. Our aim is to give clients the power of sight, across both structured and unstructured data, so that they can derive meaningful insights and make optimal business decisions. My day-to-day involves collaborating closely with stakeholders to understand their ever-changing business needs and how Frisk can assist them in achieving their objectives. From here, we develop solutions, applying a wide range of technologies including, data ingestion and indexing, artificial intelligence specifically machine learning, natural language processing and graph/network analytics.

What are the biggest challenges you face?

In my current role, the biggest challenge is demystifying AI, particularly for small & medium enterprise who are keen to start adopting the technology and realising the benefits but are unsure where to start. That along with balancing innovation and risk; ensuring new rapidly advancing tech meets security and data governance requirements.

What would be the proudest or most enjoyable moment in your analytics career?

I don’t have one most enjoyable moment in my career, but a highlight has been the people I have met and worked with along the way. Forming a team of talented people, with diverse experience and skills, to deliver a project successfully, is always a thrill. Seeing stakeholders get excited about the solution and how much value it will bring, drives me to start the next project! Coaching and mentoring new talent, is also a highlight; providing support and guidance for people to fast track their career into roles where they love what they do, every day.

What advice would you give to a woman wanting to get into the analytics industry?

Every day is a learning curve, don’t wait to be a master. One thing I love about the analytics industry is the variety – the problems to solve are rarely the same, and the technology is constantly evolving. This can be daunting for people considering a career in analytics, but acknowledging and embracing these things, can bring valuable career opportunities and experiences.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Many large enterprises have already introduced and are realising the benefits of graph analytics. This trend will continue to grow, however an increasing number of small & medium enterprises will start adopting the technology, as it becomes increasingly accessible. As graph analytics is further embraced, I am excited to see how the public sector in particular, applies the technology in order to deliver improved outcomes for Australian citizens.

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Hollie Doran

General Manager - Brand & Marketing, Frisk

In a normal day, what kinds of data / analytics activities are you involved in?

Frisk is an Adelaide-based, NextGen agile data intelligence company and technology platform that provides artificial intelligence, data augmentation and decision optimisation solutions to SME, enterprise and government customers. 

The Frisk product is designed to revolutionise the way organisations utilise and augment data to deliver powerful insights that optimise decision-making, delivering tangible commercial benefits to the business. 

Some use cases include -  

- Enterprise search 

- Fast-tracking FOIs 

- Pinpointing PII 

- Legal Discovery  

For the last few years (in different capacities) I have been managing the marketing and communications for the brand. This also includes providing insight, trends and recommendations for product development.

What are the biggest challenges you face?

It is still a male dominated industry, although in my experience women are wholly embraced. 

One of the biggest challenges is still to get industry and businesses to recognise the importance of a sophisticated and sustained data strategy, and the insight that is hidden within data.  

Another is around the understanding of, and showing the importance of unstructured data. By 2025 it is estimated that over 80% of all data will be unstructured, yet many businesses are not prioritising or properly indexing this type of data. 

Hopefully over time there is more awareness of the value of data and the insights it can uncover.

What would be the proudest or most enjoyable moment in your analytics career?

I was part of the team that prepared the brand, strategy and plans for a capital raise. That was a high point. 

What advice would you give to a woman wanting to get into the analytics industry?

Keep on fighting the good fight!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The application of AI, the security of data (also linked to AI applications like Chat GPT), the democratisation of data (making it easier for end-users to get insights) and unstructured data. 

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Michela Guimaraes

Senior Customer Advisory, SAS

In a normal day, what kinds of data / analytics activities are you involved in?

I explain to potential customers how to use SAS Analytics' solutions to improve their business outcomes.

What are the biggest challenges you face?

The biggest challenge is to find a way to explain in simple words something that can be very complex, such as Machine Learning. 

What would be the proudest or most enjoyable moment in your analytics career?

When I find a good story that explains well what the data analysis is telling me. And when I explain the results in an easy way that everyone can understand.

What advice would you give to a woman wanting to get into the analytics industry?

I'd tell her to make sure she learns a very effective way to communicate her findings and convey the message to business leaders and managers. Also, I'd tell her to learn very well the foundation of statistics/Math and to be up to date with the latest trends in the market. Finally, I'd also encourage her to learn about some business subjects as this will help her with the interpretation of the results. 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The ethical use of Analytics. How to make sure any company is using analytics in an ethical way.

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Sandra Hogan

Co-founder & Data Analytics Lead, Amperfii

In a normal day, what kinds of data / analytics activities are you involved in?

I am lucky enough to spend my days with many analytics professionals and business stakeholders to discuss how we can collaborate to deliver the benefits of data and analytics to organisations.  I work on developing analytics solutions and products that will assist business teams to deliver benefits to their end customer.  I also focus on ensuring we have a sustainable and relevant data and analytics strategy to support the organisation's objectives.  With the rapid pace of change, the analytics team need to be aligned to business outcomes and continually refining how the engage with the business and deliver those outcomes and benefits.

What are the biggest challenges you face?

One of the biggest challenges is change management.  All data and analytics products should drive some level of change to support the stronger use of data and analytics.  To truly deliver value from analytics products, the organisation needs to work differently and that involves change management activities to consume the solution and ensure business stakeholders trust and act on the data and/or solution.

What would be the proudest or most enjoyable moment in your analytics career?

I feel most proud when I see younger analytics professionals see the impact they have made on an organisation with their work.  Coaching and mentoring people is something that gives me joy and hopefully gives younger professionals a way to fast track their craft and achieve their personal goals.

What advice would you give to a woman wanting to get into the analytics industry?

My advice would be to focus on your business knowledge as well as your technical skills.  I recommend that you collaborate closely with your stakeholders to ensure your work is actionable and delivers value every time.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I see a focus around data literacy with a lot of value coming from how we better collaborate across the many diverse teams that need to come together to deliver a successful analytics and AI project.  Success is a team effort and very relevant to data science as we move into the age of AI and advanced uses of data.

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Sanya Kalia

Senior Segmentation and Data Analyst, SAS Institute Australia & New Zealand

In a normal day, what kinds of data / analytics activities are you involved in?

I am involved in anything to do with marketing data! This includes creating target audience lists for email campaigns, creating and analyzing reports for pre and post marketing campaigns, developing strategies for nurturing contacts via automated campaigns, ensuring our systems are working with each other and have a good data quality and using output from analytical models for analysis.

What are the biggest challenges you face?

One of the biggest challenges I face includes trying to integrate different systems and sources of data whilst ensuring data accuracy. Another challenge is around data privacy issues and ensuring cultural differences are addressed when running global campaigns.

What would be the proudest or most enjoyable moment in your analytics career?

My proudest moment is when data analysis supports the hypothesis we have made about a particular business problem.

What advice would you give to a woman wanting to get into the analytics industry?

The advice I would give to all women is to be curious about numbers and data and understand how it flows through the tools. This will give you a greater understanding of the tools and assist you in making better and more informed decisions. Also, be loud and assertive when it comes to something you believe in and have to present your findings to your peers. Don’t let anyone tell you that you can’t make it in this industry!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

One of the most interesting aspects is the constantly evolving AI platforms available in the markets. Companies need to keep on top of all these various platforms and when the time is right, leverage it to their advantage while ensuring ethical standards are met and the platforms are safe and secure.

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Surbhi Kumar

Solutions Consultant, Adobe

In a normal day, what kinds of data / analytics activities are you involved in?

Every day is different but its mainly around working with teams/businesses/clients on 

1. Understanding their business objectives and challenges. And how can they effectively meet their business goals. 

2. Helping them realise the value of data and actionable insights. How can they use the data & integrate different systems to act on that data.

What are the biggest challenges you face?

Democratisation of data and ensuring we have a proper governance framework around it

What would be the proudest or most enjoyable moment in your analytics career?

Some of the proudest moments have been the ones where I got to witness teams fundamentally change and start using data to make any business decisions.

What advice would you give to a woman wanting to get into the analytics industry?

Data and analytics can sometimes be a broad term and can cover off different areas. Try out those areas, teams, see what clicks and what you enjoy the most. 

In terms of technical skills, SQL would be a good starting point; more so to understand logic & the coding world. 

More over, Data and Analytics is a fun world of story telling & opportunities. You will always find something interesting to do & learn.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

With this enormous amount of data available, it'll be interesting to see how can we simplify these signals and convert data into insights and action easily.

And of course, with innovation, how do we balance it with privacy & ethics.

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Dr Ana Kuusk

Chief Architect - Asia Pacific, Dassault Systemes

In a normal day, what kinds of data / analytics activities are you involved in?

->AI

->Data integrations between Engineering Assets and IT Systems (OT/IT convergence, IIoT, I4.0 and PLC/Scada Control Systems Automation)

->Complex System of Systems Architecture

 

What are the biggest challenges you face?

Enabling data linking and aggregation to and from central stores/data lakes across OT engineering asset and IT corporate systems networks to enable near/real time data driven decision making and predictions in real time. Security policies often inhibit this.

What would be the proudest or most enjoyable moment in your analytics career?

Several!

1. Completing the Data Architecture Strategy and designing and implementing a Kafka real time data platform to enable ship to shore communications, triggering asset and strategic decision making for defence

2. Recent AI for engineering assets academic paper published

3. Having implemented AI/ML/data integrations for data driven decision making, optimising and automating processes for several organisations in Health, defence and  mining including autonomous vehicles and scheduling

What advice would you give to a woman wanting to get into the analytics industry?

Come and join the Systems Engineers on the engineering asset side - model based systems, automation and virtual twining - there's not many of us!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Overcoming cyber security policies to enable data linking and mining between OT and IT networks in real time.

The number of types of analytics/machine learning streams is now large - seeing where the consolidation will be - chat bots versus automation (such as cars) trade off driving that consolidation

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Rachel Lollback

Senior Data Analyst, TalentFirst.ai

In a normal day, what kinds of data / analytics activities are you involved in?

Being a start up, the activities vary which I like. Our main focus is building an AI tool to help organisations drive cultural change to improve employee experience and performance. I help with development, review, design, and project management. We also do data analytics consulting, where I help scope, deliver, review, and manage stakeholders across different projects. I am also helping train up more junior team members.

What are the biggest challenges you face?

Over the years I’ve definitely had to face the feeling of imposter syndrome. All through my life, from my STEM electives in high school, to uni, to the workplace, I’ve definitely noticed the lack of females around me. I was also not confident in my abilities, and genuinely felt out of place and like a fraud a lot of the time. Over the last few years though, with the support of amazing managers, colleagues, and mentors, I’ve realised that I am great at what I do, and that I do deserve to be where I am. I do still have moments of doubt, but I’m finding it easier to push them aside now.

What would be the proudest or most enjoyable moment in your analytics career?

There have been many great moments. I think my proudest would be when I scored very highly in my performance review at my previous company where there were a lot of very smart and talented people. For me, this helped squash any thoughts I had that I wasn’t good enough, and also helped validate that the years of hard work to get where I had had paid off.

What advice would you give to a woman wanting to get into the analytics industry?

Do it. It’s a fantastic industry to be a part of. I absolutely love my job and the people I get to work with. Also try to find a mentor, preferably female, in the industry too to help give advice and ask questions of. I find this is a great way to broaden my network and learn different perspectives too.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Personally I think watching data become more widespread and used to its full potential will be incredible. It’s still amazing how many organisations are not doing this yet, and it’s fantastic seeing how impressed they are with something we consider to be quite basic.

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Naomi Nehme

Marketing Data Analyst, Salesforce

In a normal day, what kinds of data / analytics activities are you involved in?

In a normal day I would be involved in a myriad of data analytics activities this includes data extraction and processing, creating data workflows, data migration, data querying using SQL and other tools, designing, creating and implementing dashboards through tableau and google data studio, building forecast models, providing insights and analysis to wider stakeholders as well as really using data to accentuate what the highlights/hotspots are and tell a story with it.

What are the biggest challenges you face?

One of the biggest challenges I face, is to really hone in one focus area and provide some sort of actionable insight regarding it. This is because there is usually a plethora of contributing factors so it can be slightly difficult to drill-down into one or two areas where stakeholder can quickly and feasibly action it. Also, balancing day-to-day requests with projects and data innovation initiatives which may ultimately hugely assist the business, so working with priorities can also be another challenge.

What would be the proudest or most enjoyable moment in your analytics career?

There are many proud and enjoyable moments within my analytics career but I would say one highlight would definitely be creating and implementing a Leads Performance Dashboard which really changes the way our stakeholders look at and understand data on the leads funnel perspective. Providing them with a lens that they never had visibility on is really rewarding. To see my stakeholders actively using it to guide their conversations and ultimately self-serve to improve their overall business health and lead generation. This involved a lot of work around the data design and workflow modelling, in order to join several datasets with the accurate logic and business rules. As well as the overall dashboard design and creation so that the data and information can really be understood and well received by the users. Additionally, I used an iterative approach so that stakeholder feedback is used to constantly improve the dashboard and ensure it is widely well received.

What advice would you give to a woman wanting to get into the analytics industry?

To just go for it, it is such a large industry and the best bit about it is you will always be learning and experimenting with new technologies. I would say one key piece of advice is to still have that technical skills, but then also really place importance on your stakeholder confidence, communication and presenting skills as this is what really allows your data analysis to come to life and differentiates you from others in the industry.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

For the future of analytics I would have to say AI and machine learning will certainly be the most interesting and groundbreaking aspects. This is as there is so much we as an industry can apply this to and as we familiarise ourself with it more in our day-to-day activities it can be really powerful and change the way we employ our data.

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Vicent Osabel

Principal solutions engineer, Dataiku Pty Ltd

In a normal day, what kinds of data / analytics activities are you involved in?

My current role is about helping various organisations drive and implement their analytics/DS strategies through the use of technology. I am involved in conversations around how  to get started in this journey and how to scale it out to gain the business value you need to justify the investment.

What are the biggest challenges you face?

Getting a seat in the table where critical decisions are made. It’s very rare to find a peer or a female leader in the industry I work in. It’s changing slowly and I’m grateful for all the women before me who stuck it out and built a career and paved for me and others to be put on stage and be heard

What would be the proudest or most enjoyable moment in your analytics career?

Travelling the world and meeting people from all over the world who has the same passion and interest. My analytics career has allowed me to move to Australia and build a life here

What advice would you give to a woman wanting to get into the analytics industry?

Back yourself and remain resilient. You can have a career as well as a family life - don’t quit even before you got started

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I’m looking forward to seeing analytics being widely used  by non-data people. I’m also looking forward to more women leaders to analytics roles in major corporations in ANZ

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Kylie Park

Senior Data Analytics Consultant, Codex (contracted to Seek)

In a normal day, what kinds of data / analytics activities are you involved in?

Utilisation of R to carry out analytics projects that support marketing and strategy, as well as campaign targeting guidance. Also have a focus on operational risk minimisation such as the automation of outlier detection processes

What are the biggest challenges you face?

Ensuring integrity of data insights, and 'reproducability' of outputs, in an environment where changes to data sources can occur frequently.

What would be the proudest or most enjoyable moment in your analytics career?

 

What advice would you give to a woman wanting to get into the analytics industry?

Make sure you retain a focus on the practical outcomes of your work, not just the nitty-gritty detail of the data. It's often ok for analysis findings to be 'directional', not necessarily perfect.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Hopefully finding better/easier ways to quantify the benefit of analytics projects, which would help with prioritisation.

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May Phang

Lead Data Scientist, Dataiku

In a normal day, what kinds of data / analytics activities are you involved in?

primarily as a consultant working with customers to achieve their goals - whether it's wrangling data, building a Machine Learning project, or deploying and automating data/ML workflows. I also lead the Dataiku teams within Aus/NZ and Japan/Korea.

What are the biggest challenges you face?

A few of our customers have difficulties in prioritising activities / projects with us - which may be as a result of internal politics, or high valued use cases not being immediately obvious. In instances like these - our partnership with our customers is extremely crucial, to help shape and influence their strategy. Another big challenge I commonly face is working across different countries - I currently lead the Data Science teams for Australia, New Zealand, Japan & Korea. My colleagues in Japan & Korea are great to work with - that said, we have to respect each country's culture (the way they think, and operate). These countries are typically very conservative, and follow certain protocols when it comes to doing business. In instances like these - I heavily rely on my Japanese & Korean team mates, in ensuring I am across and conscious of how to work with these customers (along with their continuous support and endorsement).

What would be the proudest or most enjoyable moment in your analytics career?

Working at Dataiku - which has exposed me to different cultures workwise.

What advice would you give to a woman wanting to get into the analytics industry?

Look out for data analyst type roles, that will help shape up some basic analytical skills. Look to also upskill yourself so that you can demonstrate your ability to learn on the job (putting together either an Excel analysis, or a Python project). Getting endorsement, or support from colleagues, someone in the industry also will significantly boost your chances of tapping into the industry

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

With the rise of low-code tools and platforms (like Dataiku) - this is gradually reducing the barrier to entry: allowing subject matter experts to focus on what they know best, but being able to analyse their data in a systematic and scientific manner.

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Elakkiya Ramarajan

Lead Data Scientist, Vapar

In a normal day, what kinds of data / analytics activities are you involved in?

As an expert in advanced AI modelling with a focus on detecting defects in pipeline inspection, my daily activities involve a wide range of tasks. I engage in advanced analytics activities such as data cleaning, transformation, and normalization to ensure that the data is accurate and consistent. I create algorithms and cutting-edge AI models to detect defects in pipeline inspection, using techniques such as computer vision,machine learning and deep learning.I also constantly engage in gathering and processing data, creating advanced AI models, and managing data assets. Also work closely with other team members to ensure that the data assets are properly integrated into the project and are easily accessible for analysis and reporting.I play an instrumental role in improving the accuracy and efficiency of the VAPAR AI system

What are the biggest challenges you face?

There are many challenges that I may face in my analytical career as an AI modelling expert focused on detecting defects in pipeline inspection. These challenges may include keeping up with rapid technological change, managing large volumes of data, ensuring the accuracy and fairness of my models, and communicating the significance of my work to stakeholders. To overcome these challenges, I need to develop new skills and strategies, collaborate with domain experts, and invest in effective communication strategies. By doing so, I can ensure that my work remains impactful, accurate, and valued in the field of pipeline inspection.

What would be the proudest or most enjoyable moment in your analytics career?

One of the proudest moments of my data science career was when I built a model from scratch and taught it to detect objects in images using computer vision techniques. It was a challenging project that required a deep understanding of the underlying algorithms and a lot of trial and error. There is something incredibly satisfying about watching a model learn and improve over time, almost like watching a child grow and develop. The more I worked on the project, the more I became passionate about computer vision and the possibilities it offers for solving complex problems in a wide range of fields. One of the most exciting aspects of building this model was the opportunity to understand and imitate the visual abilities of humans. By analyzing large amounts of image data and using advanced machine learning algorithms, I was able to create a model that could detect objects in images with a high degree of accuracy. The project was also impactful because it had the potential to be used in a variety of applications, from surveillance to medical imaging. Knowing that my work could contribute to improving people's lives was incredibly motivating and made me even more committed to pushing the boundaries of what is possible in computer vision. Overall, building this model from scratch and watching it develop over time was one of the most rewarding experiences of my career. It reminded me of why I became passionate about data science and anlytics in the first place and motivated me to continue working on projects that have the potential to make a difference in the world.

What advice would you give to a woman wanting to get into the analytics industry?

My advice to any woman wanting to get into the analytics industry is to jump right in and give it a go. Although it may look difficult and hard to get into at first, a small effort can go a long way in making it work. To start, I recommend gaining knowledge and experience in data analysis, machine learning, and programming through online courses and certifications. It is important to stay updated with the latest trends and technologies in the field by attending conferences and networking with other professionals. Finding a supportive community of peers and mentors who can offer guidance and advice is also critical. Look for organizations and initiatives that support women in analytics to build your network. It's important to keep in mind that the analytics industry is constantly changing, and it's important to be flexible and adaptable. Embrace new technologies and approaches, take risks and try new things. Lastly, don't let any perceived barriers or obstacles hold you back. With the right mindset, perseverance, and passion, you can achieve great success in the analytics industry.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

In terms of the future of analytics, the most interesting aspect is the potential impact of generative and assistive AI. These technologies have the potential to revolutionize the way we approach data analysis, making it more accessible and inclusive to people from diverse backgrounds. Generative AI can help automate the process of creating new data, which can be especially useful in industries such as healthcare, where there is a shortage of real-world data for training models. This can lead to more accurate and efficient diagnoses, treatments and ultimately, better patient outcomes. Assistive AI, on the other hand, can help people with disabilities to overcome barriers to access and participate in analytics. By providing real-time feedback and assistance, assistive AI can help individuals with visual or hearing impairments to participate in data analysis and gain valuable insights. Another interesting aspect of the future of analytics is the increasing importance of data ethics and privacy. As the amount of data being generated continues to grow, it is important to ensure that the use of this data is ethical and respects individuals' privacy rights. Overall, the future of analytics is exciting, with the potential to make data analysis more inclusive and accessible, while also improving accuracy and efficiency. As we continue to explore the possibilities of generative and assistive AI, we must also be mindful of ethical considerations and strive to create a more transparent and responsible data-driven world.

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Dr Terisa Roberts

Director, Global Lead Risk Modelling & Decisioning, SAS

In a normal day, what kinds of data / analytics activities are you involved in?

I have the privilege to lead the solutions for Risk Modelling & Decisioning at SAS. We use data and advanced analytics to better quantify risk, such as credit risk, liquidity, and climate risk. Advanced risk analytics enable our customers to make better risk-based decisions. We utilise a wide range of data types, including structured, unstructured and geolocated data, together with a wide range of algorithms including statistics, operations research and machine learning to quantify risk for everyday lending decisions or extreme events such as climate risk shocks.

What are the biggest challenges you face?

We are currently employing Artificial Intelligence and Machine Learning (AI/ML) to automate typical risk management tasks such as the ongoing validation and monitoring of models. We are also looking at the responsible application of AI/ML for highly regulated models. Some of our biggest challenges are to make the AI/ML models more explainable and how to address any biases that may arise.

What would be the proudest or most enjoyable moment in your analytics career?

I’ve had the privilege to write a paper for the World Bank on the responsible use of AI/ML for Credit Scoring and its impact in developing countries. Recently, I've published a book entitled: Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning.

In my job, I have the opportunity to interview a range of industry experts on the practical applications of AI/ML in banking and advise organisations and regulators on the safe and responsible use of AI/ML. AI/ML is a rapidly evolving field and becoming an intricate part of the fabric of our society and how we engage with services providers, not only in banking.

And lastly, under my leadership, the SAS product for Risk Modeling modernised to our new platform, SAS Viya, and received international recognition as best consumer credit modeling software in 2020, 2021 and 2022.

What advice would you give to a woman wanting to get into the analytics industry?

Speak up. The industry desperately needs your expertise, your experience, and your perspective. Talk about diversity and demand it from your teams. Diverse teams are better equipped to identify and remediate biases in the workplace.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

AI/ML are developing at groundbreaking speed. For example, we see impressive and exciting innovation in natural language models. These technologies have transformational potential in rapidly automating freeform text generation and summarization. The next step following automation will likely be the optimisation of processes.

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Lakshmi Thiagarajan

Program Manager, The Cravern Group

In a normal day, what kinds of data / analytics activities are you involved in?

Manage Data Analytics Projects across different sites for our client. It's always beneficial to have worked in the weeds before managing the team as it helps you contribute to the decision making, provide suggestions based on experience and expertise and directly contribute to the success.

What are the biggest challenges you face?

Data is always an interesting domain to work with. There are times you tend to go with your intuition but the inference you get from the data might be completely different. Patience and attention to details are the key when you work with data. Too many tools in the market and I always try to upskill but being upgraded always is a challenge. Having worked in Consulting environments has taught me to spin around different domains at the same time and exhibit greater potential in all of them.

What would be the proudest or most enjoyable moment in your analytics career?

My first proudest moment would be identifying the future of Analytics in very early days and making my switch. I have always loved numbers since childhood. Not sure how I ended up in Engineering and not Accounting. Playing with data and numbers again in this domain makes me love my job each day. Being in Data Analytics industry lets you contribute to both worlds of tech and Management which is what I thoroughly enjoy. Working across various domains and always being able to provide valuable insights and infer decisions from the data makes you feel very included. When the organization makes a decision based on your Data Analysis and Modelling and implement a change and when the change is measured weeks/months after and the results provide wins to the organization is always my proudest moment. And am so glad am able to make those moments more often :)

What advice would you give to a woman wanting to get into the analytics industry?

There is a difference between Data Analysis and Data Analytics which most people tend to miss. But these differences in the Data Analytics domain leverage various paths for woman. There are multiple roles with from being an Analyst to a Programmer to being in Visual Data Management to a front-End developer to a back-end data management person to a Data modeler to Data Governance to an Architect and few different roles. These various options let you fit in different buckets based on your interest. The only key would be 'Never be afraid to pick any role'. As long as you are open to learning, nothing is difficult. If you have had a career break, or you want to start fresh, come in energized and am sure you can interleave into the data industry very quickly. 'Data' is everywhere and is the main essence of all the modern technology. So, you will always have a spot here. I feel woman have extra skill in working through data, identifying anomalies and coming up with insights from all points of view. This additional skill will always let you outshine from the crowd. Honestly, all of us work with data each day at home in various ways from analyzing the food pattern for our kids, likes and dislikes of people around us, analyzing the spend for our household, predicting the future spend based on current trend for the month/year and Analytics is all about working on a bigger data set to provide similar insights :)

Irrespective, as long as your passionate, have the will power and stand up for yourself, we can always win the world!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

We hear of many terminologies each day - Artificial intelligence, Predictive analytics, Augmented Analytics, Hyper personalization etc. New innovations always come with new challenges. Something new at most times will be better than the previous one. Way forward would be interesting to see how we beat through these challenges on the journey to maturity. As we get through new technologies Data Governance would be the key and proactive Data Stewardship may be at high demand. 

Robotics Automation as much as is advantageous, people also seem to look at it as a threat. In the future we may be working towards a lot more Automation. We can expect regulations to grow tighter in the coming years. Companies must toe the line between ensuring information privacy and accessibility while staying agile and competitive.

The trend line has always been growing and the prediction into the future for Analytics is always relative as well.

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Zanne Van Wyk

Worldwide Education Services Architect - Data Analytics and AI, Microsoft

In a normal day, what kinds of data / analytics activities are you involved in?

As an Industry Architect and Data, Analytics and AI expert, I am responsible for establishing and growing the Education business, including development of the strategy and the roadmap for a portfolio of industry solutions, which meet customer business and mission requirements, that align with industry trends and corporate goals. Industry Solutions (IS) is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, and world-class architects, consultants, and delivery experts who work together to bring Microsoft’s mission of empowerment – and cutting-edge technology - to life for the world’s most influential customers. We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey.

What are the biggest challenges you face?

There are several challenges, but some of the biggest ones include:  

- Data Quality, including Master Data, inaccurate and missing data.

- Not having a compelling DA&AI Strategy, a Roadmap to implement the strategy and a supporting Data Governance Framework.

- Change Management supporting the Data Scientists and Domain Experts engagement to better understand the business question, the context and nuances of the problem they are trying to solve.

- Ensuring that AI models are Transparent and Interpretable. 

What would be the proudest or most enjoyable moment in your analytics career?

The proudest moments in my analytics career varied depending on my goals and aspirations at that point in time. What has been consistent over my 30-year career was a combination of personal achievement, professional recognition and the knowledge that my team's work had an impact on the organisation and society.

What advice would you give to a woman wanting to get into the analytics industry?

My advice to women wanting to get into the analytics industry is to always remember that as a woman in the analytics industry, you have a unique perspective and voice. 

Start by building a strong foundation in the core skills, tools and technology needed to succeed in the analytics industry. Remember it requires a team to deliver successful Data Analytics & AI (DA&AI) solutions, and everyone in the team shouldn't be Data Scientists. Do research on the various roles in a successful DA&AI Team and where you see yourself based on your interests and strengths. Build a portfolio and keep track of all the projects you worked on, it doesn't matter how small they were. 

I can't put enough emphasis on how important it is to network and seek mentorship. 

Be confident and persistent and believe in yourself and your abilities. Keep an open mind, be willing to learn and adapt, and focus on building your skills and expertise.

In terms of the future of analytics, what do you think will be the most interesting aspect/s? 

The future of analytics is exciting and full of potential. Advancements in AI and machine learning technologies continue to evolve, they will become more sophisticated and capable of handling more complex tasks. 

How we apply this in new applications and uses cases will require DA&AI to work in collaboration with industry and domain experts to ensure that there is transparency on how decisions are made, with an emphasis on data ethics and privacy. As analytics tools become more user-friendly and accessible, there will be greater democratization of analytics. This will enable more people to leverage the power of data to drive decision-making and innovation within their organisations.

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Vaishali Vijay

Data Analytics Specialist, Google Cloud

In a normal day, what kinds of data / analytics activities are you involved in?

In my present role, I have the fortunate opportunity to help customers transform and build what's next for their business- all with technology built in the cloud. As a Data Analytics Specialist I actively use both my technical aptitude and communication skills to address all aspects of the data lifecycle.

What are the biggest challenges you face?

Finding out the 'why' of the problem and creating an awareness of the value that data analytics brings in the solution.

What would be the proudest or most enjoyable moment in your analytics career?

Throughout my journey I realised I had the potential to help scores of young girls and women in their journey towards building a stellar analytics career. My heartwarming moment was mentoring and upskilling women who were impacted by Covid-19 pandemic and lost their jobs to explore new careers with no-code, low code training and career guidance. Many of them pivoted their careers, achieved certifications, chased their goals, and increased their income and confidence.

What advice would you give to a woman wanting to get into the analytics industry?

I would definitely advice to Network! Find communities, groups, attend relevant sessions even if you are a newbie and make connections, follow the leaders in your chosen fields. Do not hesitate to reach out to people with mentorship requests, most people are happy to help/guide a new starter.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I am excited with the low code/no code approach coupled with automation picking up the pace enabling diverse people from non-technology backgrounds to get results faster!

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Monica Woolmer

Senior Industry Expert, Teradata

In a normal day, what kinds of data / analytics activities are you involved in?

At Teradata, we transform how organisations work and people live through the power of data.  My primary role is to help our customers or prospects achieve their priority business outcomes through data and analytics.   This could entail the sharing of relevant analytic use cases that have been delivered to other customers around the world or through sharing how the analytic capabilities available to them through our products or partner products could be deployed to achieve the desired outcomes.  An example here is in showcasing how path analysis can be used to uncover broken digital processes.

What are the biggest challenges you face?

The first challenge is time - ensuring that I understand the right priorities so that the most important items are completed in the timeframe expected.

Another challenge is ensuring I adapt to meet my customers where they are in their data / analytics journey.  Organisations even in the same industry may be on different paths and even departments within the same organisation may have a different level of understanding of data and analytics.

Finally, working for a tech company, ensuring that we collectively are not solely focused on the technical benefits, rather the end goal of achieving business outcomes with the technology is truly front and centre.

What would be the proudest or most enjoyable moment in your analytics career?

Prior to joining Teradata, I started up a boutique data and analytics consultancy and was successful in building up the business to the point of having over 30 consultants on my team.

More recently, in 2021, I was nominated for and accepted into Teradata's Winners Circle, recognising the work I had done for Teradata customers in Australia/New Zealand.

What advice would you give to a woman wanting to get into the analytics industry?

There are many different types of roles available in analytics both customer facing and more behind the scenes. My career has been a mix of business and technical (and often bridging the two!).

If you have an interest and willingness to learn then the industry is one you should investigate.  The analytics industry keeps evolving so you will continue to have the opportunity to apply your skills in new and many times innovative ways.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

In the near term, analytics will play a key role in helping organisations meet and exceed their own climate change targets.  

Into the future, there will be a continued proliferation of analytics into areas we might not even of thought of today!

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Ruby Zhang

Associate Data Analyst, TalentFirst.ai

In a normal day, what kinds of data / analytics activities are you involved in?

My current position involves working across various projects, where I analyse and interpret complex datasets to aid clients in making data-driven decisions.

What are the biggest challenges you face?

As an associate data analyst at a startup, I have observed that my limited exposure to data analytics tools and techniques presents a significant challenge. However, I am confident in my ability to acquire proficiency in these areas by taking advantage of the valuable training and guidance provided by my company.

What would be the proudest or most enjoyable moment in your analytics career?

Having started my analyst role just a month ago, I am proud to have the opportunity to enter the data analytics industry and join the community of women in STEM.

What advice would you give to a woman wanting to get into the analytics industry?

Staying competitive in the analytics job market and remaining relevant in the field requires a continuous learning approach. This involves attending conferences, taking courses, and listening to industry podcasts to stay up-to-date with the latest trends and technologies in analytics.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The cost barrier will no longer limit the future of big data analytics. As a result, we can expect to see a growing number of small and medium-sized businesses to incorporate big data analytics into their business strategies.

Telco
Click on a name to understand each person's role, proudest moment, greatest challenges and advice for women thinking of a future in analytics.
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Renata Romila

Data Governance & Data Engineering Lead, Belong

In a normal day, what kinds of data / analytics activities are you involved in?

I lead a dual team, 2 people in the Data Governance and Data Management function, and 20+ people in a Data Engineering Function. I help flesh out strategy, plans and solutions for our Enterprise Data Platform. I also have designed and commenced rolling out a new Data Governance Framework and Data Ownership approach. I specialise in design of solutions that deliver a customer 360 view, MDM and Reference Data Management.

What are the biggest challenges you face?

Data lifecycle on-boarding combined with Data Literacy gaps is the biggest daily challenge. A secondary challenge is the knowledge uplift that is required in terms of data ownership and how that translates to immediate business benefits like data protection, data value and fit for purpose metrics. A third challenge is building consistent, high performing teams that display ownership of their outcomes and process; in an industry that is in high demand and we have high churn due to better, shinier offers; people skilled in delivering parts of the data lifecycle may at times join us with ways of working and approaches that need to be refined/improved.

What would be the proudest or most enjoyable moment in your analytics career?

Landing in the current role is probably my proudest moment, being able to merge Data Management with Data Engineering, through process, education, knowledge of what is the right approach and sheer grit.

What advice would you give to a woman wanting to get into the analytics industry?

I have 4 daughters, ranging 5 to 18. I encourage them daily to look at life around them, data is everywhere when you stop and think about it. Analysis is at its core the summation of an aggregation of data. My advice is start on the basics and core principles, not to chase shiny software and tools. You can do analysis with pen and paper. Google the Rose Chart, created by Florence Nightingale. She did not have Tableau, or PowerBI or Lavastrom or Alteryx or what ever the newest myriad of options in the market.

So start by looking at the data around you, in your life (personal finances) or work (invoices) and use that data to answer some questions.

I often meet data practitioners who skipped the theory and got straight to the tools and they struggle to deliver context. To be good at analytics you are foremost a problem solver; and all good problems solvers do these 3 things: -Define the question being asked (what do business need to know from data)

  • Write up the decision the answer will give (KPI)
  • What is the action business will undertake when the answer is given? (Outcome)

When you simplify the work like this, you can do analysis using any tool. The other advice I would give is speak to anyone already in analytics or data and ask them to show you what they do in their daily work. It's a great way to get a view of which of your current skills are transferrable.

And lastly it's never too late; I only started using a computer at 21, before that I was a visual artist.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

I think for humans the most interesting is the personalisation aspect; both good and bad outcomes - refer Minority Report. For data leaders it's important we work very hard to mitigate the negative aspects often denoted in sci-fi.

AI and ML is all the craze right now, as was BI 15 years ago or big data etc. I don't believe we have matured enough in how we collect, store and manage data, to derive useful data outcomes for humanity; and hence we have infant chat agents who propose to be philosophers.

I also would love to hope that we get better at data solutions to use this for medical achievements and some work is being done in this field right now that excites me, where we are decoding the human gene much faster than we had before.

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Rusheel Sareen

Data Analytics & Insights Senior Analyst, Telstra

In a normal day, what kinds of data / analytics activities are you involved in?

a. Requirement discussions with stakeholders/external teams to understand the Data requirements, business impacts and system impacts on our existing solutions.

b. Querying the Data Lake for Data Discovery and analysis purposes

c. Performing data analysis to figure out how business requirements/Acceptance Criteria will be fulfilled using data including

i. Investigating what datasets are required for analysis and from which source systems

ii. How the datasets will be linked to each other

iii. Which data fields are required to fulfil Acceptance Criteria

d. Creating Stories and Data Mapping sheets for developers to implement the solution.

What are the biggest challenges you face?

a. Huge organisations like mine where the same data is used by various teams sometimes houses unintended data silos. i.e. different teams trying to analyse the same data/ achieve the same data solution for different purposes. It’s hard to find teams with synergies and not re-invent the wheel. We are gradually progressing on breaking down these data silos but there is still a long way to go.

b. Knowledge Management is key to any organisation’s success and data is its biggest asset. And the biggest danger is when knowledge about data resides in an employee’s brain. That’s one challenge I have faced – finding data SMEs because not all knowledge is documented. Which is why I make it a point to document all the knowledge I have so it can be used by whoever needs it.

What would be the proudest or most enjoyable moment in your analytics career?

a. I came into the Analytics domain out of interest and not just because of my qualifications. Hence, 90% of what I have learned in this domain is through hands-on work. In my early days of Data Analytics career, I was given the task of producing a Power BI dashboard on the organisation’s quarterly resource management including both $$ and human resources. This dashboard was to be used to track the demand and allocation of resources across the company on a quarterly basis. I was involved in the end-to-end activities including data discovery, analysis, requirements gathering and Power BI build. At the end of it, I was able to produce this dashboard without any previous working knowledge of PBI, by learning as I went. When the organisation’s Planning committee started relying on the dashboard to track resource demand vs allocation, that moment was a massively rewarding for me as I witnessed my contribution to the business.

What advice would you give to a woman wanting to get into the analytics industry?

a. I would love to share the best advice I have ever got which applies more to women than to men. Don’t believe in the myth that working in STEM industry means working over-hours, working harder than you would at other kinds of jobs or having to step aside from commitments in your personal life that you wish to pursue. Same goes for promotions in these fields. All it involves is you learning to manage your time differently which comes with experience.

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

a. I feel strongly about simplification. Therefore, what excites me the most is new technologies like Data Lakes that help make different kinds and formats of data in the same location for everyone to use using a common platform. A great example is Data Bricks which is helping organisations enable this. If an organisation manages to connect all the systems that capture data to a common data management platform, this will simplify the process of accessing data for everyone and the possibilities this will open in terms of solving problems using data analytics are infinite. Many organisations have already started the journey to achieve this target state but there is still a long way to go and I am excited for that.

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Fithriyah Shalihah

Data Engineering Chapter Lead, Telstra

In a normal day, what kinds of data / analytics activities are you involved in?

It varies from looking at how different datasets, including network and usage data, can tell a story about customer experience and making recommendations on the next steps and investment decisions. Understanding different platforms and how to work with them best from an ad-hoc to streamlined perspectives. Also working with the business to identify key use cases and processes that can be improved using Machine Learning/ Artificial Intelligence tools and technology.

What are the biggest challenges you face?

Keeping up with the evolving data landscape can be challenging. Finding a balance between having deep domain understanding and speed to delivery means I need lean on others more at times.

What would be the proudest or most enjoyable moment in your analytics career?

Making direct impact to our customers including helping provide services to domestic violence survivors and those in remote communities/schools without internet access through lockdown as well as building an analytics tool that help prioritise business investments.

What advice would you give to a woman wanting to get into the analytics industry?

Get your basics down pat - SQL and Python. Practice visual storytelling with the data you have - know the questions you are trying to answer before diving into the details. Formulate hypothesis that you can test. Get into fun projects in your spare time (budgeting using your own data can be very helpful) or get across competitions like Kaggle and GovHack. Have fun with it!

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

More and more of it will be so automated and ingrained in our lives that we don't even think twice about it. Especially with the increasing use of generative AI, policy makers will have to keep up on making sure that regulations are in place with ethical use as it becomes common practice.

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Anitha Vallabh

Chapter Type Lead for Reporting and Insights, Telstra Ltd

In a normal day, what kinds of data / analytics activities are you involved in?

I manage a large global team that delivers Executive, Financial and operational performance Reporting of key company metrics for Senior management and customers. We are trusted advisors for providing high quality reports/dashboards/insights that solve business problems and drives effective decision making.

What are the biggest challenges you face?

1. Executive Support to improve Data Literacy - The sponsors / execs may not have a deep understanding of the foundation and advancements in the Data Analytics field. They sponsor short term initiatives, which may not necessarily be sufficient for continuous focus on digitizing the organisation.

2. Data Curation - There is a huge amount of data available within the organisation and out there. Data curation is overlooked many a time, leading to each project weeding the data to their specific purpose. 

3. Legacy Data - As a company completes a decade (even lesser these days), there is a pile up of legacy systems, which need to interact or coexist with modern systems and data, leading to complexities in getting a complete view.

4. Data privacy - This is becoming a challenge with numerous reports and publication mechanisms out there. Its exceeding challenging to review each output for PI/SI information. There is a lot of reliance on people to do the right thing.

5. Talent development - With new tools and technology coming in each day from various tech companies, it’s a constant challenge to develop and grow talent within the org. Sometimes, people are reluctant, and sometimes the missions are reluctant.  

Talent Retention - Due to high market demand and low quality supply of talent, clubbed with company's financial targets, retention becomes challenging.

What would be the proudest or most enjoyable moment in your analytics career?

During the initial days of my career, I was enamoured by the power of databases and telling the story of performance and movement behind it via visuals. The Technology was over-engaging and I took my own time to savour the achievements and slowly step into management. 

I have had many proud moments in learning new skills and delivering value to the business via dashboards and intelligent reports. But as I joined new organisations, the data has grown exponentially and there has been a lack of organising it for better use. My proudest moments were born from solving that problem, when I take the lead in organizing & cataloguing the metadata for the enterprise or larger business units. It's an area that helps enterprises have better control with curation rather than creation of similar assets. I have a unique ability to bring structure to federated data using semantic layer that is business friendly and support self-service! 

It gives me utmost satisfaction and pride when the new analysts are able to spend time on the actual work rather than data ingestion and transformation. 

What advice would you give to a woman wanting to get into the analytics industry?

A lot of women inherently have a mathematical and logical bent of mind. 

1. Analyzing for self and others is natural to most women i.e. playing out scenarios. Analytics is about applying the math and stat to everyday business scenarios using the new age tools and techniques. So, get some tools training from easily available platforms, 

2. Speak to some industry friends or contacts via Linkedin to understand what is involved and just get in. 

3. There are a number of public data and sites available to experiment and try your hands. Be bold and go for it. Publish some of your work to get public review. 

4. There are various job sites that describe what the industry is expecting for the role. Unpack some of those skills and learn them. 

5. A formal education in Business Analytics will be extremely useful if you have the time for it.  

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

The next decade is about Data dominance, until it normalizes.

1. True self-serve analytics - Significant reduction in time to market insights - especially with Natural language processing and generative AI trends and tools picking up, making it easier to navigate the data sets, aid with quicker analysis and insights for the common person. 

2. Increased Diversity and inclusion - The nature of analytics and access to tools will drive people from diverse backgrounds to be involved in this space.

3. Data Privacy and security - A greater emphasis on identification and protection while we will also see an increased attack on such information. 

4. Increased real-time collaboration with third party data - Compute power and new analytics tools will make it easier to source and combine company information with multiple third party data alerting customers/business reliably. 

5. The Fear - Traceability and logic behind decisions may be further lost as these tools will become more black-boxed.

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Saro Wijesiriwardana

Senior Business Translator, Telstra Ltd

In a normal day, what kinds of data / analytics activities are you involved in?

I do work with the Business and Developer teams to get the business logics and reporting requirements translated into Data and created as tables/Views in company's reporting data warehouse.

Developing reports/ dashboards to reflect the performance metrics/trends and business insights using BI/AI tools.

Data validation and deep dive analysis using SQL/Excel/ Power BI/SSAS 

What are the biggest challenges you face?

Data Governance- as Telstra is a vast company and Master Data Management is a big challenge when translating/mapping the products/services/teams across the various segments of the company.

Data Democracy- Again, easy access to real time data and having an assurance of the accuracy/ validity without performing own testing and validations is still a challenge.

What would be the proudest or most enjoyable moment in your analytics career?

When I develop my very report using SSRS/SSAS and presented to the business users across the company to promote company's new reporting tools/platform, I was feeling very proud about myself. Being a baby boomer and a woman, joined the workforce (Telstra) as a mother of young kids with no extra time in hand plus, having newly learned computer skills with no extra practice or training, this was a great achievement for me, after which I continued coaching and training other teams to use the customized BI tools/ reporting platform for reporting and analytics purposes. And thanks Telstra for all the support provided!

What advice would you give to a woman wanting to get into the analytics industry?

You can do it! And women naturally have an instinct for analysis and consider wider options when it comes to making decisions or helping to make decisions. Women are born to question and that's another plus.

Learn the basics, tools required and follow your heart. 

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

For Telstra, it's being able to use a single source of truth for reporting and analytics. It's having all data in one place, well governed, stitched and aligned seamlessly with no delay. Being able to access easily, incompatible with company's advanced BI/AI tools for any data related activity.

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Zahra Zamani

Senior Data Scientist, Telstra

In a normal day, what kinds of data / analytics activities are you involved in?

Gathering data from different cloud and big data platforms such as AWS and AZURE. · Cleaning and preparing the data · Building features in different languages like SQL and Python · Running data analysis and statistical analysis on the data to gain insights · Modelling and applying various ML algorithms to solve the problem. Most problems are formulated as supervised learning or unsupervised. · Examples of the models I've ran are Propensity to buy models, churn models, cross-sell propensity models, uplift models for call reduction, clustering and classification of network faults, sales forecasting. · Gathering the results of the scored model and model evaluation metrics · Running the model in production and result analysis . Action definition based on model outcomes to help derive business value.

What are the biggest challenges you face?

.Cross platform data and how to avoid duplication while having the data ready for models · Prod vs dev environment setup. Often leads to more time required as the data or parameters might be different across the two spaces. · stakeholder understanding of the data driven approach and on boarding them to accept the model outcomes · not enough time to test different algorithms or parameter tuning as the business often wants quick turnaround . Measuring the real impact of the model in production. Sometimes actions may not equate directly to dollar values but result in overall positive outcome. How do we measure these.

What would be the proudest or most enjoyable moment in your analytics career?

Running models live and seeing it derive value to the business is always a great moment.

What advice would you give to a woman wanting to get into the analytics industry?

Ask questions from people and from the data · After spending time in the coding world which is more of a boys club, the data environment has been very accepting and diverse. Still dont feel pressured for the need to suppress your life with work, instead balance them and ask for breaks if you need time. · Being a mum is challenging but my work has always supported me and using flexible hours has allowed me to focus on work and my family. · Experiment with models and data a lot and dont give up

In terms of the future of analytics, what do you think will be the most interesting aspect/s?

Autonomous AI in everything and everywhere! ChatGPT is just the start!