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Updated weekly · Last refresh Sep 21

Electronic Arts (Ea) Data Analyst Interview Questions

The questions to prepare for a Electronic Arts (Ea) Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 9 questions + 3 drills · ~102 min
Count Peaks in a ListHard

Evaluates algorithmic thinking and careful handling of edge cases in data problems.

Data AnalysisElectronic Arts (Ea)
SQL Joins and ProjectsMedium

Evaluates practical SQL join understanding and your ability to connect queries to real outcomes.

JoinssqlElectronic Arts (Ea)
SQL Player Ranking by SpendMedium
Practice
Practice drill

Rank EA players by total spend within each region and return the top three using aggregation and ROW_NUMBER().

Window FunctionsRankingGroup ByElectronic Arts (Ea)
SQL to Flag Partner Count MismatchesMedium
Practice
Practice drill

Compare partner-reported and internal daily counts, then flag discrepancies and show the prior comparison status.

JoinsData WranglingCase WhenGoogle
SQL Segmentation by OutcomeMedium
Practice
Practice drill

Segment Instacart orders by region, retailer, and derived delivery outcome with aggregate operational metrics.

JoinsData WranglingGroup ByInstacart
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2
Metrics6 questions · ~48 min
Improve a Game Metrics DashboardMedium

Assesses dashboard improvement skills and your ability to translate metrics into better decisions.

dashboard analysisElectronic Arts (Ea)
Product Metrics Case StudyMedium

Tests end-to-end case study thinking from metrics to recommendations.

KPIsLeading IndicatorsDiagnosisElectronic Arts (Ea)
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3
Statistics & Probability6 questions · ~48 min
Linear Regression ExplanationMedium

Tests your understanding of core statistical modeling concepts and assumptions.

linear regressionElectronic Arts (Ea)
Statistical Theories KnowledgeMedium

Assesses depth of statistical knowledge and practical application to analysis.

Electronic Arts (Ea)
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4
Behavioral & Leadership19 questions · ~152 min
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5
More topics4 questions · ~32 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityElectronic Arts (Ea)
Investigate DAU Drop in Live ModeMedium

Tests your ability to drive root-cause analysis using product and player metrics.

Data Analysisuser engagementElectronic Arts (Ea)
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