Problem
You are asked how you would handle a Bigbear dashboard where the same KPI shows different numbers across different source tables or models. Explain how you would use SQL to reconcile the sources, identify whether the mismatch comes from joins, aggregations, filters, missing rows, duplicate rows, or inconsistent metric definitions, and describe how you would confirm the final fix.
What This Tests
- Comparing metrics across multiple sources
- Validating joins and aggregation grain
- Using CTEs to structure reconciliation queries
- Classifying mismatches with CASE expressions
- Explaining root cause and resolution clearly
Expected Depth
A strong answer should be operational, not theoretical. The interviewer expects a step-by-step debugging workflow and the SQL patterns you would use, not just a high-level statement that you would “check the data.”
Practicing as: Data Visualisation Specialist interview at BigbearHi, I'll play your Bigbear interviewer for the Data Visualisation Specialist role. Candidates describe these interviews as often stressful and moderately difficult, so expect me to be direct and to the point. Take your time with the question above and answer like we're in the room.
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