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Updated weekly · Last refresh Nov 13

DoorDash Analytics Engineer Interview Questions

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

18questions
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1
CodingStart here. 3 questions · ~41 min
Group by Totals with Top N RankingHard
Practice

Aggregate records by category and group, filter by totals, count distinct members, and return category-local top-N rankings.

deduplicationaggregationsql queriesDoorDash
Impute Missing Values in DataframeMedium
Practice

Impute None values in record arrays using column-specific mean, median, mode, or constant rules.

Data ManipulationData AnalysisArray ManipulationDoorDash
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2
SQL & Data Manipulation6 questions · ~81 min
Dashers Week-Over-Week Retention SQLMedium
Practice

Calculate week-over-week Dasher retention from completed delivery activity using date aggregation and joins.

Date FunctionsJoinssql queryDoorDash
Top Drivers by Delivery SpeedMedium
Practice

Identify the fastest 10% of drivers by average completed-delivery time using joins, aggregation, and ranking.

JoinsData Manipulationsql queryDoorDash
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3
Pipelines4 questions · ~54 min
Schema and Daily Ingestion DesignHard

Design an exercise app schema and an idempotent daily ingestion pipeline with validation, incremental loading, and reliable backfills.

Data Qualitydata pipelinedata ingestionDoorDash
Pandas Data Cleaning for Messy DataHard

Use Pandas to build a reliable ETL cleaning workflow for missing, malformed, duplicated, and inconsistent data.

Data Qualitydata pipelinedata parsingDoorDash
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4
Behavioral & Leadership3 questions · ~41 min
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5
More topics2 questions · ~27 min
Dasher Pay Efficiency MetricsMedium

Assesses metric design, normalization across geographies, and guardrail identification.

MetricsDoorDash
Investigate Cancellations FrameworkMedium

Evaluates problem framing, hypothesis generation, and analysis workflow for operational anomalies.

analyticsDoorDash
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