Data interviews seem to be evolving fast. It’s no longer just SQL or case studies, now it’s system thinking, real-world problem solving, and even communication.

At the same time, a lot of candidates still feel uncertain going in.

From what you’ve seen:

• What’s actually being tested today?
• And what do candidates tend to worry about the most?

Would be interesting to hear both interviewer and candidate perspectives