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Uber Marketing Analytics Specialist Interview Questions

The questions to prepare for a Uber Marketing Analytics Specialist interview. Questions from real interview reports rank first. Updated weekly.

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1
StrategyStart here. 12 questions · ~96 min
Google and Microsoft Bidding StrategiesMedium
Recently asked

Tests paid search bidding strategy knowledge and performance measurement mindset.

EstimationCompetitive AnalysisGrowth StrategyUber
Strategic Partner to OperationsMedium
Recently asked

Tests partnership skills and ability to align marketing measurement to operational outcomes.

User SegmentsGo-to-MarketGrowth StrategyUber
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2
Metrics11 questions · ~88 min
Smart Bidding and Bid StrategyHard
Recently asked

Tests your ability to optimize Uber paid media performance using bidding strategy, portfolio thinking, and KPI tradeoffs.

CACKPIsUber
Attribution Model TradeoffsHard
Recently asked

Tests attribution reasoning and ability to choose models aligned to decision needs.

attributionCausal InferenceConversion RateUber
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3
Statistics & Probability3 questions · ~24 min
Measuring Campaign IncrementalityHard
Recently asked

Tests your ability to design incrementality measurement for Uber campaigns and separate effects from organic demand.

ExperimentationCausal InferenceA/B TestingUber
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4
SQL & Data Manipulation4 questions + 3 drills · ~62 min
SQL Query Optimization for Large DatasetsHard
Recently asked

Tests advanced SQL performance tuning and scalable query design.

Window FunctionsJoinsCTEsUber
Calculate 30-Day User RetentionHard
Practice
Practice drill

Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.

Window FunctionsDate FunctionsAggregationsCurefitReachMobiIndeed
Weekly Signup Cohort RetentionHard
Practice
Practice drill

Calculate weekly retention by signup cohort using CTEs, joins, date truncation, and distinct user counts.

Window FunctionsDate FunctionsAggregationsBrexPostmaneToro
Compare Signup Cohorts by RetentionHard
Practice
Practice drill

Use CTEs, joins, and date logic to compare 30-day activity rates across monthly signup cohorts.

Window FunctionsDate FunctionsCTEsGappifyDocusignJio
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5
Behavioral & Leadership10 questions · ~80 min
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6
More topics2 questions · ~16 min
Personalize Candidate JourneysMedium
Recently asked

Tests product sense for lifecycle personalization and engagement measurement.

User SegmentsUser NeedsValue PropositionUber
Designing A/B Tests for ConversionMedium

Evaluates experiment design and execution to improve conversion outcomes.

A/B TestingUber

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