Top 22
Prep plan
Updated weekly · Last refresh Oct 17

DoorDash Data Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 7 questions · ~76 min
Top Merchants Per City SQLMedium
Practice

Use a join, aggregation, and ROW_NUMBER to find the top three DoorDash merchants by completed sales in each city.

sql queryData AnalysisAggregationsDoorDash
Order Pickup Time SQLMedium
Practice

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

Date FunctionsCTEsAggregationsDoorDash
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2
A/B Testing & Experimentation3 questions · ~33 min
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
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
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3
Metrics4 questions · ~44 min
Analyze Sudden Drop in MAUsHard

Diagnose a sudden monthly active user decline by validating the metric, isolating affected segments, and identifying likely product or data causes.

DAU/MAUDiagnosisuser engagementDoorDash
Success Metrics for Grocery PickupHard

Define a success framework for DoorDash in-store grocery pickup across adoption, completion, customer value, and operational quality.

Funnel Analysisfeature evaluationKPIDoorDash
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4
Product Sense3 questions · ~33 min
Investigate Merchant CancellationsMedium

Investigate why DoorDash merchant cancellations increased in one region and recommend data-backed actions to reduce them.

product analysisMetricsbusiness problemDoorDash
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5
Behavioral & Leadership4 questions · ~44 min
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6
More topics1 question · ~11 min
A/B Test Surge Pricing AlgorithmHard

Design a cluster-randomized A/B test for DoorDash surge pricing, covering estimands, interference, power, guardrails, and rollout decisions.

ExperimentationCausal InferenceStatistical SignificanceDoorDash
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