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Updated weekly · Last refresh Aug 30

Uber Drivers Strategy & Data Analyst Interview Questions

The questions to prepare for a Uber Drivers Strategy & Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

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1
MetricsStart here. 3 questions · ~24 min
Economic Health in New MarketMedium

Tests metric selection and framework design for evaluating marketplace health in new Uber Drivers launches.

kpi hierarchyUber Drivers
Metrics for Driver Onboarding SuccessMedium

Tests KPI design and success criteria for experiments and product changes in Uber Drivers onboarding.

onboardingsuccess metricsActivationUber Drivers
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2
Strategy10 questions · ~80 min
Incentives vs Rider Fares Trade-offHard

Tests economic trade-off analysis across rider demand and driver supply for Uber Drivers marketplace.

Cost-Benefit AnalysisPricing Strategyunit economicsUber Drivers
Pricing a Driver Subscription ServiceHard

Tests product strategy and pricing analysis for a new subscription offering tied to Uber Drivers.

product launchValue PropositionUber Drivers
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3
Behavioral & Leadership4 questions · ~32 min
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4
More topics5 questions · ~40 min
Prove Incentive CausalityHard

Tests causal inference methods to distinguish true impact from displacement effects in Uber Drivers.

experiment designHypothesis TestingCausal InferenceUber Drivers
SQL for Most Profitable HoursMedium

Tests SQL skills for profitability analysis by time windows in Uber Drivers NYC.

Date FunctionssqlAggregationsUber Drivers
A/B Test Weekly Bonus StructureMedium

Tests experimental design and causal measurement for incentive changes affecting Uber Drivers behavior.

experiment designincremental liftprimary metricsUber Drivers
Pilot to Transition to EVsHard

Tests program design, incentives, and operational planning for an EV transition pilot on Uber Drivers.

Resource AllocationUber Drivers
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Daily Peak-Hour Driver Acceptance RateMedium
Practice
Practice drill

Use joins, a CTE, CASE logic, and date filtering to compute daily peak-hour acceptance rate for San Francisco ride requests.

Date FunctionssqlAggregationsLyft
Track Agency Utilization QueryMedium
Practice
Practice drill

Calculate Omnicom Health team utilization by week using joins, date ranges, aggregation, and a safe percentage calculation.

Date FunctionssqlAggregationsOmnicom Health
Cohort Conversion Before vs AfterHard
Practice
Practice drill

Compare pre and post campaign conversion rates by customer signup cohort using joins, a CTE, conditional aggregation, and date intervals.

sqlCohort AnalysisAggregationsSantander
The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.