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Warner Bros. Discovery Data Analyst Interview Questions

The questions to prepare for a Warner Bros. Discovery Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

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1
MetricsStart here. 4 questions · ~35 min
First-7-Day User Health MetricsMedium

Tests understanding of activation and early engagement metrics for new subscribers.

Leading IndicatorsActivationEngagement MetricsWarner Bros. Discovery
Churn Risk from Viewing PatternsMedium

Tests churn modeling approach using behavioral metrics and time windows.

RetentionChurnCohort AnalysisWarner Bros. Discovery
Measure Success of a ReleaseMedium

Tests metrics framework for content performance and business impact evaluation.

campaign performancekpi hierarchyEngagement MetricsWarner Bros. Discovery
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2
Behavioral & Leadership6 questions · ~53 min
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3
More topics5 questions · ~44 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsWarner Bros. Discovery
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationWarner Bros. Discovery
Dashboard KPIs and LayoutMedium

Tests KPI selection and dashboard design for content acquisition stakeholders.

KPIsUser NeedsdashboardingWarner Bros. Discovery
A/B Test for Max RecommendationsMedium

Tests experiment design, success metrics, and evaluation approach for personalization.

experiment designGuardrail Metricsprimary metricsWarner Bros. Discovery
Explain Full Outer vs Left JoinMedium

Explain how FULL OUTER JOIN and LEFT JOIN differ when reconciling customer records across systems.

JoinsData WranglingCase WhenWarner Bros. Discovery

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Six-Month User Retention CohortsHard
Practice
Practice drill

Calculate six-month retention by signup cohort using CTEs, joins, aggregations, and month-based date logic.

Window FunctionsRetentionCohort AnalysisNykaa
7-Day Rider Retention in NYCHard
Practice
Practice drill

Compute 7-day NYC rider retention by signup cohort using joins, CTEs, date filters, and distinct retained-user aggregation.

Window FunctionsRetentionRunning TotalsUberAsana
The finish line: interview-readyComplete all 15 questions plus 2 hands-on drills to finish this plan.