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Rokt Data Analyst Interview Questions

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

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Diagnose Funnel Drop-OffMedium

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

AARRR FrameworkFunnel AnalysisConversion Rate
Rokt
Using Metrics to Drive Decisions
Easy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading Indicators
Rokt
Measure Core Feature Engagement
Medium

Define the metrics that show whether engagement in a core feature is improving.

RetentionDiagnosisEngagement Metrics
Rokt
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A/B Testing Experience and ImplementationEasy

Explain how you have designed and implemented A/B tests, including hypothesis setup, analysis, and decision making.

ExperimentationStatistical SignificanceA/B Testing
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Power Analysis for Experiment Planning
Medium

Reason about power analysis when planning an experiment and choosing sample size.

ExperimentationPower AnalysisSample Size
Rokt
A/B Testing for Product Features
Medium

Explain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.

Hypothesis TestingStatistical SignificanceA/B Testing
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Cleaning and Preparing Messy Data
Easy

Tests data cleaning rigor and preparation practices to ensure reliable analysis at Rokt.

Data WranglingETLQuality
Rokt
SQL, Python, or R Experience
Easy

Tests hands-on data analysis tooling proficiency relevant to Rokt’s data workflows.

JoinsData Wrangling
Rokt