Senior+ Data Manipulation (SQL/Python) Interview Questions
Senior+ data interviews push SQL and data manipulation well past basic SELECTs. These questions were reported from senior-level interviews, so they cluster around the harder techniques: multi-level window functions, recursive and layered CTEs, cohort and retention logic, and pandas transformations that mirror real analytics work. At the senior+ level, interviewers also expect you to reason about query performance and explain why one approach beats another. Drill these to get fluent in the patterns that separate senior+ data candidates — writing a running total, a month-over-month change, or a cohort query without reaching for a reference. Most questions come with a worked solution so you can compare your query to a clean one.
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