Picking Brains
Vita Kumpina
BI Developer

What does a BI Developer do?
A BI developer designs and implements systems that collect, store, and analyze data to help organizations make informed decisions. We create dashboards, reports, and data visualizations to present insights clearly and effectively. This role is crucial because it enables organizations to leverage data for strategic planning, improving operational efficiency, and gaining competitive advantages.

What excites you most about your role?
The opportunity to engage directly with end users and present the final product – reports and dashboards that bring data to life. I find it incredibly rewarding to focus on the front end, where the impact is most visible. I chose this path because I enjoy transforming raw, often complex data, into intuitive, visually compelling insights that users can immediately connect with. Seeing their reactions – that moment of surprise and appreciation – is a powerful reminder of the value we deliver.


Why is data visualization so important?
Data visualization helps organizations become truly data-driven. It turns complex data into something people can understand quickly. With the right visuals like charts, graphs, or dashboards – it’s easier to spot trends or outliers, making decisions faster and more confident. It helps teams focus on what really matters.
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“With the right visuals like charts, graphs, or dashboards, it’s easier to spot trends or outliers, making decisions faster and more confident.”
Vita Kumpina
BI Developer, Redeploy

What tools do you use most?
I mainly use Power BI for building and sharing reports and dashboard. I rely on Power Query for transforming data and DAX for creating powerful calculations. Recently, I’ve been using Microsoft Fabric too – it’s great to bring everything together in one platform, from data engineering to real-time analytics. It streamlines the whole data workflow and makes it easier and faster to deliver insights.

What’s your top advices for better data visualization?
Start by defining your goals. What questions are you trying to resolve? What insights do you want to gain? This clarity will shape your entire approach. Understand your audience to determine the right level of complexity and design style. Choose tools and platforms that align with your team’s skills and business needs. Most importantly, focus on the quality of your data. Clean and accurate data is the foundation of every successful data visualization project.