From Data Science student to Financial Controller: an Analytics journey with SAS
Get valuable insights and hard-won lessons from our Talent Spotlight: Miroslava Zajacová
For many students, university is where curiosity about data first turns into analytical skills. Working with datasets, learning statistical methods, and exploring tools like SAS can shape the way students approach complex problems and often influence the direction of their careers.
We spoke with Miroslava Zajacová, a Data Science graduate who used SAS during her thesis research and is now applying those analytical skills in the business world. In this interview, she shares her journey from studying statistics to working as a financial controller and how data-driven thinking continues to guide her work. Explore her full Master's final thesis with the title: Material and living conditions in the EU in terms of quality of life.
Passion for understanding the story behind data
What did you study at university, and what inspired you to choose that field? What was your learning journey like?
I studied Data Science with a focus on Statistics. I chose this area because I was always interested in understanding how numbers tell a story about business performance and how data can support better decision-making. I wanted a career that combined analytical thinking with real business impact.
My learning journey was both challenging and rewarding. I built a strong foundation in quantitative analysis, statistics, and data tools, while also developing problem-solving and critical-thinking skills through projects and research work. Over time, I became more comfortable working with large datasets and translating complex results into practical insights.
Using SAS to turn data into insight
What led you to select your thesis topic, and why did you decide to use SAS software?
I selected my thesis topic because I wanted to focus on a data-driven problem that required rigorous statistical analysis and had practical applications. I was particularly interested in applying quantitative methods to real-world data rather than purely theoretical research.
I chose SAS because it is a powerful and reliable tool for statistical analysis and handling large datasets, and it is widely used in both research and professional environments.
Learning SAS to analyze complex data
How would you describe your experience with SAS?
My experience with SAS was very positive. Although there was a learning curve at first, it quickly became very efficient for data management and modeling. It helped me approach problems in a structured and logical way, which is a skill I still use today.
From graduation to a career in Finance
When did you graduate, and what are you doing now compared to what you expected?
I graduated in May 2025. After graduation, my goal was to work in a role where I could combine analytics with business and financial decision-making. Currently, I work as a financial controller. My responsibilities include financial reporting, budgeting and forecasting, performance analysis, and supporting management with data-driven insights. In many ways, this aligns closely with my original plans, as I use both analytical and strategic thinking every day.
The skills that matter most
Which skills from university do you think you’ll use most in your career, and where do you think your studies could have better prepared you?
The skills I use most are data analysis, statistical thinking, Excel, and the ability to interpret financial and operational data.
Critical thinking and problem-solving are especially important in my current role, as I often need to explain variances, identify underlying causes, and support decision-making with clear, evidence-based insights.
Looking back, I feel that the university prepared me very well by combining theoretical knowledge with practical projects and presentations. These experiences helped me develop not only strong analytical skills but also the ability to communicate insights clearly, which is essential when working with management and stakeholders.
Advice for students working on Data-Driven research
What advice would you give to current students preparing their thesis using SAS or working on data-driven research?
Start early and take time to fully understand your data before beginning the analysis. Good data preparation is key to reliable results.
Most importantly, focus on interpreting and explaining your results clearly. Finally, choose a topic that connects to real problems, as this will make your research more practical and valuable for your future career.
The journey from university research to professional practice often begins with developing strong analytical thinking and learning how to work with data effectively. For Miroslava, using SAS during her thesis helped build a structured approach to data analysis that continues to support her work today. Her experience shows how academic projects can become a valuable foundation for careers that rely on data-driven decision-making.
Want to read more stories from academic researchers shaping the future of analytics?
Hardus Bodenstein | Planning for Success in Data-Driven Research and Business
Tatiana Rešovská | From Research to Practice: building an Analytics career
Miriam Kánová | From Math to meaningful data: a graduate’s Clinical Research journey with SAS
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