Data Analysis and Requirements Translation Questions

Focuses on translating ambiguous business questions into concrete, actionable data analysis plans. Candidates should identify what data is needed to answer the question, define the metrics or KPIs that would settle it, state and validate the assumptions behind those definitions, and lay out the concrete analysis steps or queries that would produce an answer. Strong answers connect analysis choices back to the business decision at stake: what would change stakeholder behavior or strategy, what data quality or data availability issues could undermine the conclusion, and what additional data collection, reporting, or systems changes would be needed to answer the question reliably going forward.