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Updated weekly · Last refresh Aug 30

Early warning Data Analyst Interview Questions

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

17questions
~2htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
Optimize Large PostgreSQL Query PerformanceMedium

Explain how to tune slow PostgreSQL queries on multi-million-row tables using indexes, execution plans, joins, and partitioning.

Performance Tuningquery optimizationsqlEarly warning
Compare Join Types in ReportingEasy

Explain how INNER JOIN, LEFT JOIN, and RIGHT JOIN change row retention and NULL handling in reporting queries.

sql basicsJoinsjoin typesEarly warning
SQL Script for Top RowsHard

Evaluates your ability to write correct SQL for joining or combining data and limiting results.

Early warning
SQL Usage BackgroundMedium

Assesses your SQL proficiency and how you apply it to real analysis tasks.

sql experienceEarly warning
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoWorld Wide Technology
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
Monthly Campaign Performance SummaryEasy
Practice
Practice drill

Aggregate January 2024 campaign data by channel using GROUP BY, filtering, and ordering by total clicks.

JoinsData WranglingAggregationsDNVEversanaDiscord

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2
Behavioral & Leadership13 questions · ~104 min
Balancing Fraud Prevention and FrictionMedium

Tests judgment in balancing fraud reduction against user friction, with emphasis on trade-offs, stakeholder alignment, and measurable outcomes.

Decision MakingRisk Managementuser experienceEarly warning
Cross-Functional Data Delivery Under ConstraintsMedium

Tests cross-functional delivery, stakeholder alignment, and ownership in shipping a data solution with measurable business impact.

Stakeholder ManagementCommunicationOwnershipEarly warning
Presenting Analysis to Non-Technical LeadersEasy

Tests whether you can translate complex analysis into a clear, decision-oriented story for non-technical stakeholders.

Stakeholder ManagementCommunicationstarEarly warning
Owning a Messy Data IssueEasy

Tests ownership and stakeholder communication when cleaning incomplete data under business pressure.

data cleaningData WranglingProblem SolvingEarly warning
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The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.