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Boston University Data Analyst Interview Questions

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

10questions
~1htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 3 drills · ~54 min
Fixing Dataset ErrorsMedium

Tests data quality troubleshooting, impact assessment, and remediation practices.

Data WranglingAggregationsQualityBoston University
Cleaning Large DatasetsMedium

Tests data quality troubleshooting and practical cleaning workflows at scale.

Data WranglingETLQualityBoston University
Joining Student Data in SQLHard

Tests SQL join design and ability to model complex university data relationships.

SubqueriesJoinsData WranglingBoston University
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
Clean Event Statuses for AnalysisEasy
Practice
Practice drill

Clean raw status text with TRIM and LOWER, filter unusable rows, and count usable events by cleaned status.

Data WranglingETLQualityDatabricks
2
Behavioral & Leadership3 questions · ~24 min
Your Background and ExperienceEasy

Tests overall fit, narrative clarity, and relevance to research and applied ML work.

backgroundtechnical experienceself introductionBoston University
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3
More topics4 questions · ~32 min
Data Integration Tools ExperienceEasy

Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.

InfrastructureToolsETLBoston University
Avoiding Bias in AnalysisHard

Tests ability to control bias and maintain rigor in research-focused analytics.

ExperimentationBias-Variance TradeoffCausal InferenceBoston University
Why Higher EducationEasy

Tests motivation and fit for analytics work in a university setting.

User SegmentsUser NeedsValue PropositionBoston University
Choosing Statistical TestsMedium

Tests statistical decision-making and model selection for data-driven conclusions.

RegressionHypothesis TestingStatistical SignificanceBoston University

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