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The Johns Hopkins University Data Analyst Interview Questions

The questions to prepare for a The Johns Hopkins University Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 12 questions · ~144 min
Validate Power BI Revenue Before PublishHard
Practice

Reconcile a Power BI revenue KPI to source-of-truth payments using joins, aggregations, and window functions.

Data WranglingThe Johns Hopkins University
Explaining a Complex SQL AnalysisMedium

Explain a medium-complexity SQL query using CTEs, joins, aggregations, and CASE logic while tying it to a business problem.

business problemcomplex queriessqlThe Johns Hopkins University
Spotting and Fixing Data Quality IssuesMedium
Practice

Identify duplicate survey submissions and retain the latest valid record for each respondent and survey date.

Data Qualitydata cleaningdata accuracyThe Johns Hopkins University
Data Integrity in Dataset MergesMedium
Practice

Compare two student datasets to identify consistent records, field conflicts, and unmatched records while preserving source values.

JoinsData Wranglingdata validationThe Johns Hopkins University
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2
Statistics & Probability6 questions · ~72 min
Predictive Model ValidationHard

Explain a statistical model you developed, justify its assumptions, and describe how you validated predictive performance and generalization.

BiasRegressionHypothesis TestingThe Johns Hopkins University
Regression Modeling ExperienceHard

Explain how you selected, validated, interpreted, and applied regression models in professional work.

RegressionCausal InferenceStatistical SignificanceThe Johns Hopkins University
Administrative Claims Data WorkMedium

Tests ability to analyze high-volume healthcare administrative data and handle its quirks.

data cleaningdata validationThe Johns Hopkins University
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3
More topics2 questions · ~24 min
End-to-End Healthcare AnalyticsHard

Tests end-to-end healthcare analytics knowledge, model fluency, communication, and ownership.

project experienceanalytical skillsanalytical modelsThe Johns Hopkins University
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