Top 11
Prep plan
Updated weekly · Last refresh Aug 30

Brown University Data Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 6 questions + 3 drills · ~78 min
Ensuring Integrity Across Data SourcesEasy

Explain practical SQL techniques to preserve data integrity when combining multiple data sources.

JoinsData WranglingCase WhenBrown University
CTEs vs Temporary TablesMedium

Tests understanding of SQL query structure, performance tradeoffs, and maintainability.

CTEssql performanceBrown University
Optimize a Slow-Running Query StepsMedium

Tests performance troubleshooting and iterative optimization approach.

performancequery optimizationsqlBrown University
Restructure Data for DashboardMedium

Tests data modeling and transformation skills for dashboard-ready datasets.

Brown University
Cleaning Data With Missing ValuesMedium

Tests practical data cleaning strategies and SQL-based handling of nulls.

missing valuesdata cleaningBrown University
Querying Medical DatasetsMedium

Assesses your ability to query and manipulate medical data using SQL.

sqlBrown University
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
SQL Join With Matching and Non-MatchingMedium
Practice
Practice drill

Use a FULL OUTER JOIN and CASE expression to identify matched and unmatched OneTrust QA test cases and executions.

JoinsData WranglingCase WhenHealth CatalystGoodwill Industries Of TulsaOneTrust
Top Earners via Table JoinMedium
Practice
Practice drill

Rank Motorola Solutions employees by total earnings using a LEFT JOIN, aggregation, COALESCE, and ROW_NUMBER.

JoinssqlMotorola SolutionsMotorola

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2
Behavioral & Leadership5 questions · ~40 min
Prioritizing Competing Report RequestsMedium

Tests prioritization under pressure, stakeholder management, and ownership when multiple reporting requests compete for limited analytics capacity.

Stakeholder Managementtime managementPrioritizationBrown University
Explaining Complex Analysis to Nontechnical StakeholdersMedium

Tests communication of complex analytics to nontechnical stakeholders, with emphasis on influence, clarity, and driving action from insights.

Stakeholder ManagementCommunicationtechnicalBrown University
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The finish line: interview-readyComplete all 11 questions plus 3 hands-on drills to finish this plan.