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Updated weekly · Last refresh Oct 17

UC Irvine Business Analyst Interview Questions

The questions to prepare for a UC Irvine Business Analyst interview. Questions from real interview reports rank first. Updated daily.

36questions
~5htotal time
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1
ExecutionStart here. 3 questions · ~24 min
Functional vs Non-Functional RequirementsEasy

Tests your ability to distinguish requirement types and apply them during Business Analyst work.

Trade-offsRisk AssessmentScope ManagementUC Irvine
Defining Diversity and InclusionEasy

Tests values alignment and ability to support inclusive collaboration.

Trade-offsSuccess CriteriaRisk AssessmentUC Irvine
Communicating With Non-Technical StakeholdersEasy

Tests your clarity, translation of technical details, and stakeholder management skills.

Trade-offsSuccess CriteriaUC Irvine
2
Behavioral & Leadership31 questions · ~248 min
Translating Data Into RequirementsEasy

Tests how you translate raw data into actionable business requirements through structured communication, stakeholder alignment, and data-driven judgment.

Communicationtechnical experiencerequirementsUC Irvine
What Drives You as an AnalystEasy

Tests whether your motivation is grounded in ownership, stakeholder impact, and turning analysis into business decisions.

CommunicationLeadershipOwnershipUC Irvine
Choosing Requirements Methods by ProjectEasy

Tests how you choose and apply requirement-gathering methodologies, document clearly, and manage stakeholders to deliver a successful outcome.

AgiledocumentationrequirementsUC Irvine
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3
More topics2 questions · ~16 min
Tools for Data AnalysisEasy

Tests your practical toolkit for analyzing data and communicating results.

Data WranglingAggregationsUC Irvine
Identifying Trends in DataMedium

Tests your approach to exploratory analysis and extracting actionable patterns from data.

ExperimentationRegressionData WranglingUC Irvine

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling Missing DataEasy
Practice
Practice drill

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingUniversity of MinnesotaThe Home DepotNationwide
Handling Missing ValuesMedium
Practice
Practice drill

Create an auditable application dataset by applying explicit PostgreSQL rules for missing candidate, status, salary, and date values.

missing valuesdata cleaningnull handlingAircallathenahealthHays
Data Cleaning and Rolling DAUHard
Practice
Practice drill

Clean missing interaction records and calculate Pinterest's rolling 7-day active user count with PostgreSQL.

missing valuesdata cleaningnull handlingPinterest
The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.