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Genius Sports Data Analyst Interview Questions

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

15questions
~2htotal time
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1
Behavioral & LeadershipStart here. 13 questions · ~104 min
Handling Critical Feedback on AnalysisEasy

Tests how you receive and act on feedback about your analysis, including communication, stakeholder management, and self-awareness.

CommunicationOwnershipDealing With AmbiguityGenius Sports
Prioritizing Conflicting High-Stakes WorkEasy

Tests prioritization under pressure, stakeholder management, and ownership when multiple urgent requests compete for limited time.

Stakeholder ManagementOwnershipDealing With AmbiguityGenius Sports
Why Genius SportsEasy

Tests your motivation and understanding of why Genius Sports is a strong fit for you.

company fitmotivationGenius Sports
Excel Take-Home StructureMedium

Tests your problem-solving process, organization, and analytical rigor in spreadsheet work.

preparationProblem SolvingGenius Sports
Hybrid Work PreferencesEasy

Tests logistical fit and expectations for working style in the Genius Sports environment.

availabilityGenius Sports
Tell Me About Your BackgroundEasy

Tests your ability to communicate relevant experience and fit for the Data Analyst role.

backgroundData Analysisself introductionGenius Sports
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2
More topics2 questions · ~16 min
SQL for Data CleaningEasy

Tests practical SQL and data manipulation skills for preparing analytics-ready datasets.

Data WranglingGenius Sports
Handling Missing Live DataMedium

Tests data quality strategies for maintaining reliable reporting in live sports data pipelines.

Data Qualitydata integrityGenius Sports

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Impute Sparse Assessment ScoresHard
Practice
Practice drill

Use CTEs, joins, CASE, and null handling to clean sparse assessment scores and impute missing values per question.

null handlingData Wranglingdata integrityMercor
Validate Migration Reconciliation MetricsMedium
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE to reconcile legacy and warehouse totals for a migration batch.

data validationdata integritycloud platformsAccenture
Flag Incomplete Campaign TrackingMedium
Practice
Practice drill

Use joins, CTEs, CASE, and null handling to quantify missing tracking data by campaign and channel.

null handlingData Wranglingdata integrityArthur J. Gallagher &
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.