Top 19
Prep plan
Updated weekly · Last refresh Aug 30

Engine Data Analyst Interview Questions

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

19questions
~3htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 1 drill · ~66 min
Top Customers by Region VolumeMedium
Practice

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingEngine
Monthly Active User Growth by PlatformMedium
Practice

Use joins, CTEs, and monthly aggregation to compute Google Maps active users and month-over-month growth.

Window FunctionsDate FunctionsAggregationsEngine
Customer Orders: LEFT vs INNER JOINEasy

Explain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.

JoinsData WranglingGroup ByEngine
Top Customers by Sales RevenueEasy
Practice
Practice drill

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsHousecall ProEquifaxXYZ
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2
Metrics3 questions · ~28 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsEngine
Define Success Metrics for FeaturesMedium

Set a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.

North Star MetricLagging IndicatorsKPIsEngine
Modeling Retention and ChurnMedium

Tests your ability to build retention and churn models and translate them into actionable insights.

RetentionChurnCohort AnalysisEngine

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3
Behavioral & Leadership9 questions · ~83 min
Explaining Complex Analysis to Nontechnical StakeholdersMedium

Tests communication of complex analytics to nontechnical stakeholders, with emphasis on influence, clarity, and driving action from insights.

Stakeholder ManagementCommunicationtechnicalEngine
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4
More topics1 question · ~9 min
Designing A/B Tests for OnboardingHard

Tests experimental design, metrics, and statistical reasoning for product decisions at Engine.

experiment designStatistical Significanceprimary metricsEngine
The finish line: interview-readyComplete all 19 questions plus 1 hands-on drill to finish this plan.