Top 21
Prep plan
Updated weekly · Last refresh Sep 10

GitHub Data Analyst Interview Questions

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

21questions
~3htotal time
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1
MetricsStart here. 4 questions · ~32 min
Measure Customer Health for SaaSEasy

Define a customer health score for a B2B SaaS product using usage, support, NPS, and renewal signals to predict churn risk.

KPIsLeading IndicatorsDiagnosisGitHub
Diagnose Low Feature AdoptionEasy

Break low feature adoption into funnel, segment, and repeat usage metrics before deciding what is actually wrong.

Funnel AnalysisDiagnosisEngagement MetricsGitHub
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2
SQL & Data Manipulation4 questions + 3 drills · ~62 min
3
Pipelines7 questions · ~56 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityGitHub
Ensuring Data Quality Across SystemsMedium

Tests data quality controls, reconciliation, and consistency practices across telemetry and CRM sources.

Data Qualitysystem integrationsalesforceGitHub
Modeling Developers, Orgs, AgreementsMedium

Tests entity modeling and relationship design for enterprise account analytics.

enterprise accountsData ModelingGitHub
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4
Behavioral & Leadership5 questions · ~40 min
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5
More topics1 question · ~8 min
Dashboard for Expansion and UpsellMedium

Tests product sense for actionable analytics and dashboard design aligned to sales workflows.

dashboard designGitHub
The finish line: interview-readyComplete all 21 questions plus 3 hands-on drills to finish this plan.