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UC Santa Barbara Data Analyst Interview Questions

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

50questions
~7htotal time
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1
Statistics & ProbabilityStart here. 11 questions · ~92 min
Central Limit Theorem LimitsMedium

Explain the Central Limit Theorem, its assumptions, and when normal approximations break down in practice.

DistributionsCentral Limit TheoremExpected ValueUC Santa Barbara
Sample Size for A/B TestsEasy

Choose sample size and runtime by combining baseline rate, MDE, alpha, power, and expected traffic.

Power AnalysisSample SizeA/B TestingUC Santa Barbara
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2
SQL & Data Manipulation11 questions + 3 drills · ~122 min
Detect and Handle Outliers in SQLEasy

Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.

Data WranglingGroup ByAggregationsUC Santa Barbara
SQL Insights for Dashboard ReportingEasy

Explain how SQL prepares clean, aggregated data for dashboards and how to describe business impact from visualization work.

JoinsData WranglingAggregationsUC Santa Barbara
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
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3
Pipelines11 questions · ~92 min
Backfill While Preserving Real TimeHard

Approach for running large historical backfills without breaking real-time pipeline freshness or correctness.

Stream ProcessingDependenciesBackfillingUC Santa Barbara
Data Cleaning in ETL PipelinesEasy

Approach for cleaning and preparing raw data inside an ETL pipeline.

Data WranglingETLQualityUC Santa Barbara
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4
Product Sense3 questions · ~25 min
Motivation in Data-Driven Product WorkEasy

Explain what drives strong performance in a data-driven product environment and how that motivation connects to impact.

User NeedsValue PropositionProduct VisionUC Santa Barbara
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5
Metrics11 questions · ~92 min
Dashboard Design for Student RetentionMedium

Evaluates your ability to translate retention metrics into a usable dashboard experience.

KPIsRetentionDiagnosisUC Santa Barbara
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6
Behavioral & Leadership3 questions · ~25 min
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.