Business to Data Translation Questions
Covers the practice of turning a business question into a concrete data analysis or query. This includes defining precise metrics and filters, selecting the right aggregation level, mapping the question to available tables and fields, drafting example queries or pseudocode, validating results and counts, identifying data quality or instrumentation gaps, and communicating limitations to stakeholders. Interviewers evaluate the candidate's ability to reason about metric definitions, cohort construction, time windows, and trade offs between freshness and completeness.
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