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Updated weekly · Last refresh Sep 23

Oscar Health Analytics Engineer Interview Questions

The questions to prepare for a Oscar Health Analytics Engineer interview. Questions from real interview reports rank first. Updated daily.

14questions
~2htotal time
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1
PipelinesStart here. 4 questions · ~32 min
Design Real-Time Feature PipelineHard

Design a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.

InfrastructureStream ProcessingOrchestrationOscar Health
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLOscar Health
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityOscar Health
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2
SQL & Data Manipulation4 questions + 3 drills · ~62 min
Star vs Snowflake for Sales AnalyticsMedium

Compare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.

JoinsData WranglingGroup ByOscar Health
Deduplicating Duplicate RecordsMedium

Tests your SQL proficiency and reasoning for safe deduplication strategies.

deduplicationsql querydata integrityOscar Health
Modeling Patient Claims and EnrollmentMedium

Evaluates your data modeling skills for healthcare analytics use cases at Oscar Health.

schema designData ModelingOscar Health
SQL for Top Procedures by RegionMedium
Practice
Practice drill

Aggregate member claim costs and return the three most expensive procedures within each region.

JoinsRankingGroup ByOscar Health
SQL for Weekly Completion RatesMedium
Practice
Practice drill

Join member, queue, and outcome data to calculate weekly completion rates by queue.

Date FunctionsJoinsAggregationsOscar Health
SQL: Top Bottleneck StageMedium
Practice
Practice drill

Rank workflow stages by average processing time and return the top bottleneck for each workflow type.

Window FunctionsRankingperformanceOscar HealthB Lab Global
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3
Behavioral & Leadership5 questions · ~40 min
Resolving Data Quality Under PressureMedium

Tests ownership of data quality issues, risk communication to leadership, and stakeholder management under business pressure.

Data QualityCommunicationLeadershipOscar Health
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4
More topics1 question · ~8 min
Measuring Your Business ImpactMedium

Evaluates whether you can quantify outcomes and connect analytics work to business results.

MetricsimpactOscar Health
The finish line: interview-readyComplete all 14 questions plus 3 hands-on drills to finish this plan.