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Updated weekly · Last refresh Oct 17

Pitchbook Data Data Analyst Interview Questions

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

17questions
~2htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 2 drills · ~64 min
Optimize Large-Scale AggregationsHard

Tests query optimization for large datasets and performance tuning on historical capital markets data.

Performance TuningsqlAggregationsPitchbook Data
Window Ranking in Ticket QueuesMedium

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

Window FunctionsRankingrow_numberPitchbook Data
Customer Orders: LEFT vs INNER JOINEasy

Explain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.

JoinsData WranglingGroup ByPitchbook Data
Modeling Company ArticlesHard

Evaluates your approach to designing a relational schema for company-centric content and queries.

database designPitchbook Data
Duplicate Transactions QueryMedium
Practice

Identify near-duplicate Mastercard authorizations with a self-join and rank matching transactions within two minutes.

Self-JoinssqlPitchbook Data
Refactoring a Slow QueryMedium
Practice
Practice drill

Refactor a slow Candid Health claims query using pre-aggregation, latest-event logic, and monthly payer metrics.

Performance Tuningdatabase optimizationCTEsCandid Health
Window Functions for Top UnitsMedium
Practice
Practice drill

Rank business units within each Genpact client by total billable revenue and return the top two performers.

Window FunctionsJoinsData ManipulationGenpact

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2
Behavioral & Leadership12 questions · ~104 min
Clarifying Requirements for a New SystemMedium

Tests structured requirements gathering under ambiguity, including stakeholder alignment, documentation quality, and ownership through delivery.

processdocumentationrequirementsPitchbook Data
Implementing a Team Efficiency ProcessEasy

Tests leadership through process change, ownership of team effectiveness, prioritization, and communication during adoption.

CommunicationLeadershipOwnershipPitchbook Data
Explaining Technical Issues to ExecutivesEasy

Tests communication and influence: can you translate technical complexity into business decisions, align stakeholders, and drive action?

Influence Without AuthorityStakeholder ManagementCommunicationPitchbook Data
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The finish line: interview-readyComplete all 17 questions plus 2 hands-on drills to finish this plan.