Goldman Sachs Data Analyst Interview Questions
The questions to prepare for a Goldman Sachs Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Goldman SachsUse joins, aggregation, and ROW_NUMBER to find the top three Goldman Sachs products by revenue in each category.
Goldman SachsAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreCompare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.
Goldman SachsApproach for safely backfilling missing data while preserving correctness, idempotency, and data quality.
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Design a marketing campaign experiment with a pre-registered metric plan, power calculation, and ship rule that respects guardrails.
Goldman SachsInvestigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.
Goldman SachsInvestigate why one customer segment drives most churn and what actions to take.
Goldman SachsExplain why correlation measures association, while causation requires evidence that changing one variable changes the other.
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