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Updated weekly · Last refresh Oct 17

NYU Langone Health Data Analyst Interview Questions

The questions to prepare for a NYU Langone Health Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 6 questions · ~61 min
Handling Missing and Dirty SQL DataMedium
Recently asked

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

Data WranglingCase WhenQualityNYU Langone Health
SQL Table Operations and DebuggingMedium
Practice
Recently asked

Insert completed encounter records from two sources, union the results, and return the inserted rows for validation.

Data Manipulationsqldatabase queryingNYU Langone Health
Debug Live SQL ErrorsMedium
Practice
Recently asked

Debug a live PostgreSQL query by validating joins, filters, NULL handling, aggregation, and result ordering.

Joinsdata validationnull valuesNYU Langone Health
Merge Sources With Data IntegrityMedium
Practice
Recently asked

Merge encounter records from two sources and flag missing records or conflicting clinical and financial values.

Joinsdata validationdata integrityNYU Langone Health
Complex SQL Inserts and UnionsMedium
Recently asked

Assesses practical SQL skills for building and combining datasets in complex queries.

database managementData Manipulationsql queriesNYU Langone Health
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2
Behavioral & Leadership13 questions · ~131 min
Resolving a Critical Data AnomalyMedium
Recently asked

Tests ownership of data quality issues, root-cause analysis, and clear stakeholder communication under pressure.

Problem SolvingOwnershipdata anomalyNYU Langone Health
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3
More topics2 questions · ~20 min
Handling Missing DataHard
Recently asked

Assess missingness mechanisms and select defensible imputation strategies while limiting bias and preserving uncertainty.

BiasstatisticsmodelingNYU Langone Health
Causal Inference MethodsHard
Recently asked

Explain when and how to apply difference-in-differences and regression discontinuity for credible causal estimates.

BiasRegressionCausal InferenceNYU Langone Health

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