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Okta Data Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityOkta
Optimize Large-Scale QueriesHard

Tests query optimization strategies for large datasets and performance troubleshooting.

Performance Tuningquery optimizationsqlOkta
Window Functions vs JoinsMedium

Tests SQL understanding of when to use window functions versus joins and the performance implications.

Window FunctionsJoinsperformanceOkta
Schema for Auth EventsMedium

Tests data modeling skills for building analytics-ready schemas for Okta authentication telemetry.

schema designData ModelingOkta
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
2
Behavioral & Leadership5 questions · ~40 min
Prioritizing Conflicting Cross-Functional DeadlinesMedium

Tests prioritization under pressure, stakeholder management, and decision-making when multiple teams compete for limited analyst capacity.

Conflict Resolutiontime managementPrioritizationOkta
Data vs Stakeholder IntuitionMedium

Tests conflict resolution and influence when a candidate must defend data-driven recommendations against stakeholder intuition.

Influence Without AuthorityConflict ResolutionStakeholder ManagementOkta
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3
More topics2 questions · ~16 min
Testing Statistical SignificanceHard

Tests statistical reasoning for distinguishing real signals from randomness in data analysis.

Statistical SignificanceOkta
Reproducible, Documented AnalysisMedium

Tests your practices for documentation, versioning, and reproducibility to support auditability and reuse.

ETLData ModelingQualityOkta

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