Ing-Diba Data Analyst Interview Guide

We’ve seen ING-DiBa lean hard on careful SQL reasoning rather than broad analytics theory. In the candidate experience we reviewed, the interviewer didn’t just ask for a query — they probed whether two nearly identical statements would return the same result, which is a strong signal that edge-case thinking matters here. That kind of question rewards candidates who can explain joins, filters, and null behavior clearly, not just type quickly under pressure.

A recurring theme is that the technical bar is paired with a real interest in judgment and fit. The same interview that included live SQL also included a character assessment, and the final conversation stayed focused on behavioral alignment. That tells us ING-DiBa is looking for analysts who can be trusted with clean reasoning and steady communication, especially in a finance setting where small mistakes can have outsized consequences.

We’d also pay attention to the fundamentals they chose to surface: data normalization came up alongside SQL, which suggests they care about whether candidates understand how data should be structured, not only how to query it. Our candidates report that the process can feel more intense than expected early on, so the best preparation is being ready to defend your logic in real time when the interviewer pushes beyond syntax into why the query behaves that way.