Top 21
Prep plan
Updated weekly · Last refresh Aug 30

DoorDash Data Analyst Interview Questions

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

21questions
~4htotal time
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1
SQL & Data ManipulationStart here. 6 questions · ~62 min
Order Pickup Time SQLMedium
Practice

Use joins and time arithmetic to calculate average restaurant confirmation-to-Dasher pickup time.

Date FunctionsCTEsAggregationsDoorDash
Week-Over-Week New DashPass RetentionHard
Practice

Use CTEs, weekly cohorts, aggregation, and LAG to calculate week-over-week retention for new DashPass subscribers.

Window FunctionsDate FunctionsRunning TotalsDoorDash
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2
A/B Testing & Experimentation3 questions · ~31 min
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingDoorDash
Detect Interference in Ops ExperimentHard

Assess whether interference between nearby units could bias an operations experiment and how to test for it.

Network InterferenceExperimentationCausal InferenceDoorDash
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3
Product Sense3 questions · ~31 min
Measure Roommate Group OrdersMedium

Tests product sense and experimentation or KPI design for a DoorDash consumer feature.

User NeedsUse CasesProduct VisionDoorDash
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4
Metrics4 questions · ~41 min
Investigate Chicago Order DropHard

Tests metrics thinking and root-cause analysis using DoorDash operational and funnel data.

Funnel AnalysisLeading IndicatorsDiagnosisDoorDash
Analyze Sudden Drop in MAUsMedium

Tests your structured diagnostic approach for investigating a DoorDash user engagement metric drop.

user engagementAnalysisDoorDash
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5
Behavioral & Leadership4 questions · ~41 min
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6
More topics1 question · ~10 min
A/B Test Surge Pricing AlgorithmHard

Tests experimental design and metric selection for pricing changes affecting Dasher supply and demand.

ExperimentationStatistical SignificanceA/B TestingDoorDash
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