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Updated weekly · Last refresh Oct 17

GRIN Data Analyst Interview Questions

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

23questions
~3htotal time
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1
MetricsStart here. 3 questions · ~26 min
Analyze New Feature EngagementMedium

Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.

Leading IndicatorsA/B TestingEngagement MetricsGRIN
Core Metrics Dashboard for GRINMedium

Tests ability to define actionable KPIs and design dashboards for product decision-making.

North Star MetricKPIsDiagnosisGRIN
What Data-Driven Culture MeansMedium

Tests your understanding of how data practices translate into organizational behavior and outcomes.

North Star MetricKPIsGRIN
2
SQL & Data Manipulation4 questions + 2 drills · ~54 min
SQL for User Engagement TrendsMedium
Practice

Aggregate user engagement by feature and date, then compare daily activity with the previous available date.

Lag/LeadDate FunctionsGroup ByGRIN
Window Functions vs Group ByMedium

Tests SQL reasoning about query patterns and correct use of window functions.

Window FunctionsRankingGroup ByGRIN
Data Cleaning and PreparationMedium

Tests rigor in preparing reliable datasets for analysis.

Data WranglingETLQualityGRIN
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
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3
Behavioral & Leadership14 questions · ~119 min
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4
More topics2 questions · ~17 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityGRIN
Steps for A/B TestingMedium

Tests experimental design, measurement, and validation practices.

ExperimentationGuardrail MetricsA/B TestingGRIN

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