Problem
You notice that two ACME House reports show different values for the same customer metric. Explain how you would diagnose the discrepancy using SQL. Focus on metric definitions, joins, filters, date logic, aggregation grain, and how you would isolate the exact records causing the mismatch.
What This Tests
- Comparing metric definitions across reports
- Finding join-related inflation or exclusion
- Checking aggregation grain and deduplication
- Using CTEs and CASE WHEN to reconcile populations
Why It Matters
This is a common analytics debugging problem. Strong answers show that you can move from conflicting dashboard numbers to a structured SQL-based investigation instead of relying on intuition.
Practicing as: Customer Insights Analyst interview at ACME HouseHi, I'll play your ACME House interviewer for the Customer Insights Analyst role. Candidates describe these interviews as mostly positive and on the easier side, so expect me to be friendly and conversational. Take your time with the question above and answer like we're in the room.
You are practicing as a guest. Sign up free to get your answer graded with AI feedback. Your draft stays right here.
