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Updated weekly · Last refresh Aug 30

Octane Data Analyst Interview Questions

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

21questions
~3htotal time
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1
SQL & Data ManipulationStart here. 8 questions + 2 drills · ~89 min
SQL Top 5 by Sales VolumeMedium
Practice

Use a CTE, joins, and aggregation to find Octane's top 5 products by completed-order units sold.

RankingGroup ByAggregationsOctane
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 ByOctane
Cleaning Data for AnalysisMedium

Tests your data preparation skills and understanding of data quality issues.

Data WranglingETLQualityOctane
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
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2
Behavioral & Leadership8 questions · ~69 min
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3
More topics5 questions · ~43 min
Diagnose Funnel Drop-OffMedium

Analyze where users drop off in a product funnel and identify the biggest conversion leak.

AARRR FrameworkFunnel AnalysisConversion RateOctane
Useful Statistical MethodsEasy

Tests statistical literacy and ability to choose methods aligned to business questions.

RegressionCorrelationHypothesis TestingOctane
A/B Testing and Result PresentationMedium

Tests experiment design, statistical reasoning, and clear communication of outcomes.

ExperimentationStatistical SignificanceA/B TestingOctane
Drivers of User RetentionMedium

Tests your metrics thinking, feature analysis approach, and ability to connect data to retention outcomes.

RetentionLeading IndicatorsDiagnosisOctane
Preventing OverfittingHard

Evaluates modeling practices to reduce overfitting and improve generalization.

modelingoverfittingOctane

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The finish line: interview-readyComplete all 21 questions plus 2 hands-on drills to finish this plan.