Top 45
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Updated weekly · Last refresh Oct 17

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 daily.

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1
SQL & Data ManipulationStart here. 5 questions · ~45 min
SQL for Top 3 ProductsMedium
Practice
Recently asked

Use joins, aggregation, and ROW_NUMBER to find the top three Goldman Sachs products by revenue in each category.

Window FunctionsDate FunctionsRankingGoldman Sachs
Consecutive Monthly Purchases SQLMedium
Practice
Recently asked

Identify Goldman Sachs customers with purchases in consecutive calendar months using month normalization and LAG.

Window FunctionsSubqueriesLag/LeadGoldman Sachs
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2
A/B Testing & Experimentation5 questions · ~45 min
Choose Randomization Unit for ReferralsHard
Recently asked

Pick the right randomization unit for a referral growth test when user-level assignment may create interference and biased estimates.

Network InterferenceExperimentationCausal InferenceGoldman Sachs
Design Test for Product LaunchMedium
Recently asked

Design an A/B test for a new digital product launch with clear metrics, power, guardrails, and a defensible ship decision.

experiment designGuardrail Metricsprimary metricsGoldman Sachs
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3
Statistics & Probability15 questions · ~136 min
Expected Flips for Two HeadsMedium
Recently asked

Compute the expected waiting time to see two consecutive heads when flipping a fair coin.

DistributionsExpected ValueConditional ProbabilityGoldman Sachs
Statistical Significance in Business DecisionsEasy
Recently asked

Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.

Hypothesis TestingStatistical SignificanceP-ValuesGoldman Sachs
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4
Metrics3 questions · ~27 min
Diagnose Churn by Customer SegmentMedium
Recently asked

Investigate why one customer segment drives most churn and what actions to take.

User SegmentsChurnDiagnosisGoldman Sachs
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5
Pipelines3 questions · ~27 min
Backfilling Missing Pipeline DataMedium
Recently asked

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityGoldman Sachs
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6
Behavioral & Leadership14 questions · ~127 min
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