Top 39
Prep plan
Updated weekly · Last refresh Aug 30

Grab Research Analyst Interview Questions

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

39questions
~5htotal time
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1
MetricsStart here. 10 questions · ~80 min
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisGrab
Classify Leading vs Lagging MetricsEasy

Explain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.

Lagging IndicatorsKPIsLeading IndicatorsGrab
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2
Strategy3 questions · ~24 min
Diagnose Sudden Delivery Volume DropHard

Structured approach to diagnose a sudden 10% overnight drop in grocery delivery volume in a major city.

Data AnalysisProblem SolvingDiagnosisGrab
Diagnosing Order DropsHard

Tests structured root-cause analysis across business and technical drivers.

root causemarket dynamicsProblem SolvingGrab
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3
SQL & Data Manipulation8 questions + 3 drills · ~94 min
Handling Messy Financial DataMedium

Explain how to use SQL data wrangling, joins, aggregations, and CASE logic to produce reliable analysis from incomplete financial data.

Data WranglingCase WhenQualityGrab
Handling Missing Data and OutliersMedium

Tests data preprocessing choices and robustness of analysis under imperfect data.

missing valuesoutliersdata handlingGrab
Analyze Decision Impact by RegionEasy
Practice
Practice drill

Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.

Data WranglingDiagnosisAggregationsHarbourVest Partners
Monthly User Engagement Trend AnalysisMedium
Practice
Practice drill

Use CTEs, joins, and monthly aggregation to measure cohort activity trends and classify engagement over time.

Window FunctionsDate FunctionsData Wrangling
Top Daily Rides by VehicleMedium
Practice
Practice drill

Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.

Window FunctionsJoinsData WranglingWaymo
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4
Behavioral & Leadership15 questions · ~120 min
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5
More topics3 questions · ~24 min
Define Prelaunch Feature SuccessEasy

Define how to measure whether a new customer-facing feature will succeed before launch.

Success CriteriaUser NeedsValue PropositionGrab
Correlation vs Causation in BehaviorEasy

Tests understanding of causal pitfalls and appropriate interpretation of user metrics.

CorrelationCausal InferenceGrab
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The finish line: interview-readyComplete all 39 questions plus 3 hands-on drills to finish this plan.