In our interview series, you get to step behind the scenes and meet some of the experts behind the data. Meet our colleagues – those who are passionate about interpreting reality, seeing patterns where others see numbers, and creating security through knowledge. They share their perspectives, motivations, and what makes them want to come to work every day.

Welcome to the engine room – where data becomes societal value through human engagement.

This time, you’ll meet Amanda Aldestam – an analyst at UC Enento who is passionate about bringing data to life.

Can you briefly describe what you do during the day? As an analyst at Enento, I work with managing and transforming large volumes of data into insights that our customers – and society at large – can benefit from. It’s very much about understanding trends, detecting changes in economic behavior, and helping to make decisions grounded in facts.

Five quick questions with Amanda

What makes you feel “this is what I want to work with” when analyzing data? It’s the feeling of discovering patterns and insights that wouldn’t otherwise be visible. Being able to translate numbers into something tangible and, through that, gain a better understanding of the decision to be made, the customer as a whole, or broader societal trends.

Is there a moment in your work when you truly felt your analysis made a difference? One moment that stands out was when an analysis helped us identify a specific correlation that hadn’t been noticed before, which in turn allowed us to act quickly and avoid a bigger problem.

Which part of the analysis process do you find most exciting – and why? I think the most exciting part is when you start digging into the data and something unexpected emerges. When numbers stop being just numbers and instead begin to tell something about human behavior, structures, or how society actually works.

If you could give one piece of advice to someone who wants to work in data analysis, what would it be? Be curious! Dare to ask questions and don’t get stuck only in the technical aspects – understand why you’re analyzing and what’s important in the context.