Google Business Intelligence Interview Guide

The interview was pretty straightforward and stayed focused on my background rather than turning into a deep technical grilling. It started with questions about my experience and skills, so I spent most of the time walking through the kinds of reporting and analytics work I’ve done and how I approach building something end to end. I framed it the way I normally would in a real BI project: first understanding what the business actually needs, then pulling the data with SQL, cleaning and transforming it, and finally modeling and presenting it in Power BI. I also talked through how I think about star schemas, Date tables, reusable DAX measures, and keeping dashboards clean and usable for stakeholders.

What stood out to me was that the conversation felt more like a fit check for a Business Intelligence role than a hard technical screen. There weren’t any tricky case questions or live exercises, just a lot of emphasis on whether I could explain my process clearly and show that I’ve worked with messy data and reporting workflows before. I mentioned using Power Query or Python depending on the problem, and that seemed to fit the kind of work they were interested in. Overall it was a low-pressure interview, but also not very expansive, so it was hard to tell how far along I was in the process. I didn’t get an offer in the end, so my main takeaway is to be ready to speak crisply about your BI workflow, especially how you go from stakeholder question to dashboard delivery.