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Updated weekly · Last refresh Oct 17

BetMGM Data Analyst Interview Questions

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

50questions
~7htotal time
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1
MetricsStart here. 18 questions · ~154 min
Diagnose a Sudden DAU DropHard

Investigate whether an 8.2% DAU decline is driven by product breakage, logging issues, or normal seasonal patterns.

DAU/MAUDiagnosisTime SeriesBetMGM
Metrics for a New LaunchEasy

Define the core metrics for a new product launch, from early adoption and activation to retention and long-term value.

Lagging IndicatorsKPIsLeading IndicatorsBetMGM
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2
Statistics & Probability3 questions · ~26 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 TestingBetMGM
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3
Product Sense8 questions · ~68 min
Prioritize Features for AI ProductsMedium

A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.

Feature PrioritizationValue PropositionBetMGM
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentBetMGM
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4
Pipelines6 questions · ~51 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityBetMGM
Audit Pipelines for State ComplianceHard

Evaluates your methods for verifying pipeline controls, lineage, and evidence for regulatory audits.

DependenciesData ModelingQualityBetMGM
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5
SQL & Data Manipulation15 questions + 1 drill · ~138 min
Nulls and Timestamp FormattingEasy

Tests practical data cleaning and time-series preparation for reporting.

Date FunctionsData WranglingAggregationsBetMGM
Handling Missing DataEasy
Practice
Practice drill

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingUniversity of MinnesotaThe Home DepotNationwide
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.