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Top 37
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Updated weekly · Last refresh Aug 30

The Information Lab Data Analyst Interview Questions

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

37questions
~5htotal time
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1
Product SenseStart here. 3 questions · ~24 min
Expanding a DashboardMedium

Tests your thinking about scope, data requirements, and iterative improvement.

Feature PrioritizationdashboardingMVPThe Information Lab
Choosing the Right ChartMedium

Tests your judgment in selecting visual encodings that match the metric and audience needs.

design rationaledashboardingdata storytellingThe Information Lab
Dashboard Story and NarrativeMedium

Tests your ability to communicate insights clearly through dashboard narrative and structure.

User Needsdashboardingdata storytellingThe Information Lab
2
Behavioral & Leadership31 questions · ~248 min
Realigning Client Scope ExpectationsMedium

Tests expectation management when client asks exceed scope, focusing on communication, ownership, and stakeholder alignment.

Conflict ResolutionStakeholder ManagementScope ManagementThe Information Lab
Cleaning Messy Data Under DeadlineMedium

Tests ownership and attention to detail in cleaning unreliable data while managing stakeholders and still delivering a credible analysis.

data cleaningexperienceAnalysisThe Information Lab
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3
More topics3 questions · ~24 min
Structuring Data for TableauMedium

Tests your data preparation skills and understanding of modeling for analytics.

data integrationData ModelingThe Information Lab
Design a Data VizMedium

Assesses your ability to translate data into a clear visualization and narrative.

data visualizationdesignThe Information Lab
AI Use Cases in AnalyticsMedium

Evaluates your understanding of AI limitations and appropriate use in analytics workflows.

The Information Lab

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

Use GROUP BY and HAVING to exclude students missing marks in two or more subjects.

data cleaningsqlPayPal
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Clean Incomplete Salesforce Lead RecordsMedium
Practice
Practice drill

Clean Salesforce lead data with CTEs, LEFT JOINs, CASE, and COALESCE to standardize missing values for analysis.

missing valuesdata preparationdata cleaningSalesforce
The finish line: interview-readyComplete all 37 questions plus 3 hands-on drills to finish this plan.