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Simon-Kucher Research Analyst Interview Questions

The questions to prepare for a Simon-Kucher Research Analyst interview. Questions from real interview reports rank first. Updated weekly.

16questions
~2htotal time
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1
StrategyStart here. 6 questions · ~48 min
Tell Me About YourselfEasy

Tests your ability to deliver a clear, relevant introduction tailored to the role at Aqr.

Competitive AnalysisGo-to-MarketSimon-Kucher
Find Optimal Price PointMedium

Tests pricing strategy thinking using research inputs to recommend an optimal price.

Cost-Benefit AnalysisPricing StrategyMarket SizingSimon-Kucher
Explain Price Elasticity SimplyEasy

Tests communication of core pricing concepts to non-technical stakeholders.

Business AcumenCommunicationPricing StrategySimon-Kucher
Estimate Market Size for RentalsHard

Tests market sizing methodology, assumptions, and estimation rigor under uncertainty.

Market TrendsEstimationMarket SizingSimon-Kucher
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2
Behavioral & Leadership7 questions · ~56 min
Prioritizing Conflicting High-Stakes WorkEasy

Tests prioritization under pressure, stakeholder management, and ownership when multiple urgent requests compete for limited time.

Stakeholder ManagementOwnershipDealing With AmbiguitySimon-Kucher
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3
More topics3 questions · ~24 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualitySimon-Kucher
Design Willingness-to-Pay SurveyMedium

Tests ability to design quantitative research that estimates willingness-to-pay reliably.

User ResearchPricing StrategyValue PropositionSimon-Kucher
Diagnose Churn Drivers with ResearchMedium

Tests structuring of research to isolate pricing impact on churn using actionable metrics.

Pricing StrategyChurnDiagnosisSimon-Kucher

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Normalize Messy CRM Contact DataHard
Practice
Practice drill

Clean inconsistent CRM contacts by joining source tables, standardizing values, and flagging bad records.

Data WranglingCase WhenQualityAlphaSense
Validate Monthly Revenue Data QualityHard
Practice
Practice drill

Use joins, a CTE, and CASE logic to flag messy monthly order data and produce cleaned revenue by month.

Data WranglingCase WhenQualityLiterati
The finish line: interview-readyComplete all 16 questions plus 3 hands-on drills to finish this plan.