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The Johns Hopkins University Applied Physics Laboratory Business Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 6 questions + 3 drills · ~78 min
Window Ranking in Ticket QueuesMedium

Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.

Window FunctionsRankingrow_numberThe Johns Hopkins University Applied Physics Laboratory
SQL Performance and Query DesignHard

Evaluates your approach to SQL performance tuning and query design for data retrieval.

sqlThe Johns Hopkins University Applied Physics Laboratory
SQL Performance TuningMedium

Tests performance tuning approaches for large datasets and complex queries.

Performance Tuningdatabase optimizationindexesThe Johns Hopkins University Applied Physics Laboratory
SQL Query RetrievalEasy

Tests ability to write basic SQL queries for data retrieval.

sql basicsqueriesThe Johns Hopkins University Applied Physics Laboratory
SQL Query Joins and FiltersMedium

Tests SQL join and filtering skills for multi-table data retrieval.

Subqueriessql basicsJoinsThe Johns Hopkins University Applied Physics Laboratory
SQL Data Types and IntegrityEasy

Tests understanding of SQL type systems and how they prevent invalid data.

sql basicsacid propertiesdata integrityThe Johns Hopkins University Applied Physics Laboratory
Rolling 7-Day Average with Window FunctionsMedium
Practice
Practice drill

Calculate patient rolling 7-day averages and rank patients within each Medpace research site using layered window functions.

Window FunctionsRankingRunning TotalsMedpaceCharles SchwabHealth Care Solutions At Home
Hash Join vs Merge JoinMedium
Practice
Practice drill

Explain PostgreSQL hash joins and merge joins, including planner trade-offs for joining Patreon membership data.

Performance Tuningsql basicsdatabase optimizationPatreon
Optimizing a Slow SQL QueryMedium
Practice
Practice drill

Explain how to optimize a slow PostgreSQL query using execution plans, indexing, filtering, joins, and aggregation.

Performance Tuningdatabase optimizationJoinsBBunge Limited
2
Behavioral & Leadership15 questions · ~120 min
Explaining Technical Constraints ClearlyMedium

Tests whether you can translate technical constraints into business terms, manage stakeholder expectations, and drive alignment on tradeoffs.

Stakeholder Managementsoft skillsCommunicationThe Johns Hopkins University Applied Physics Laboratory
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3
More topics1 question · ~8 min
The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.