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Prep plan
Updated weekly · Last refresh Aug 30

The Standard Data Analyst Interview Questions

The questions to prepare for a The Standard Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
MetricsStart here. 11 questions · ~89 min
Diagnose Funnel Drop-OffMedium

Analyze where users drop off in a product funnel and identify the biggest conversion leak.

AARRR FrameworkFunnel AnalysisConversion RateThe Standard
Build a Marketing KPI DashboardMedium

Design a dashboard that connects campaign activity, funnel conversion, and acquisition efficiency to business outcomes.

North Star MetricKPIsLeading IndicatorsThe Standard
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2
Pipelines11 questions · ~89 min
Handle Incomplete Pipeline DataMedium

Approach for handling missing, inconsistent, and duplicate data in a pipeline without breaking downstream analytics.

Data WranglingETLQualityThe Standard
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityThe Standard
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3
Product Sense6 questions · ~48 min
Recommend Improvements from Customer DataMedium

Use customer data to identify the highest-impact product improvements and decide what to build first.

Feature PrioritizationUser NeedsValue PropositionThe Standard
Identify Top User Pain PointsMedium

Identify the most important user pain points using both qualitative and quantitative data.

User ResearchUser NeedsPain PointsThe Standard
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4
Statistics & Probability9 questions · ~73 min
A/B Testing for Product FeaturesMedium

Explain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.

Hypothesis TestingStatistical SignificanceA/B TestingThe Standard
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5
SQL & Data Manipulation11 questions + 3 drills · ~119 min
6
More topics2 questions · ~16 min
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.