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Product Analyst Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 1–13 of 13 results

  • Capital OneMediumProduct Analyst
    Evaluate Two Partnerships with Unit Economics and Break-Even Analysis

    A product analytics case about comparing partnership economics with transparent profit equations, contribution margins, and break-even thresholds. Candidates must separate fixed and variable costs, test customer-mix assumptions, and make a recommendation that survives sensitivity analysis.

    Product / Decision MakingTechnical Screen
  • Capital OneHardProduct Analyst
    Evaluate food-court profitability and membership strategy

    Analyze ValueInc food-court profitability and membership strategy. Covers missed-profit counterfactuals, breakeven, segment unit economics, price elasticity, vertical integration, members-only gating, shutdown costs, and experiment guardrails.

    Analytics & ExperimentationTechnical Screen
  • DoorDashEasyProduct Analyst
    Investigate LA successful orders drop

    This question tests your ability to methodically decompose a performance metric drop, isolate potential root causes using data dimensions, and suggest analytical steps to distinguish between technical issues and marketplace dynamics.

    Analytics & ExperimentationTechnical ScreenProduct AnalyticsFunnel AnalysisRoot Cause Analysis
  • Home DepotEasyProduct Analyst
    Debug SQL join that drops rows

    This question evaluates understanding of SQL joins, filtering interactions, aggregation, and troubleshooting data discrepancies when combining sales, sale_items, products, and promotions tables.

    Data Manipulation (SQL/Python)Onsite
  • Home DepotEasyProduct Analyst
    Decide whether to keep a negative-margin promotion

    This question evaluates proficiency in analytics, experiment design, causal inference, metric definition, and business-impact analysis for a Product Analyst role, including handling noisy cost data and partial customer identifiers.

    Analytics & ExperimentationOnsite
  • IntuitEasyProduct Analyst
    Extract insights from a multi-entry funnel scorecard

    This question evaluates a candidate's ability to analyze multistep funnel metrics, handle highly skewed traffic across many access points, and prioritize insights from sparse or long-tail data, testing competencies in product analytics and measurement.

    Analytics & ExperimentationOnsite
  • IntuitEasyProduct Analyst
    Handle missing and unavailable predictive features

    This question evaluates a product analyst's machine learning competencies in diagnosing data quality issues, handling feature availability and training-serving skew, and interpreting counterintuitive correlations, testing both conceptual understanding and practical application for model development and deployment.

    Machine LearningOnsite
  • MetaMediumProduct Analyst
    Describe an Analysis Where You Used AI Responsibly

    Prepare a credible story about using an AI-assisted tool in analysis. The exercise tests whether you can justify the tool, validate it independently, protect sensitive data, plan for failure, connect model quality to a product decision, and explain how you build AI fluency.

    Behavioral & LeadershipHR Screen
  • MetaEasyProduct Analyst
    Design experiments and diagnose metric changes

    This question evaluates product analytics and experimentation skills, including experiment design, metric framework definition, causal reasoning, diagnostic analysis, and marketplace operations trade-offs within the Analytics & Experimentation domain.

    Analytics & ExperimentationTechnical Screen
  • MetaEasyProduct Analyst
    Explain a project’s impact and product thinking

    This question evaluates a product analyst's product thinking, analytical rigor, experiment design and execution, metric selection and trade-off analysis, and ability to quantify and communicate project impact while demonstrating leadership in end-to-end ownership.

    Behavioral & LeadershipTechnical Screen
  • MetaMediumProduct Analyst
    How would you drive product growth?

    This question evaluates product growth analytics competencies including experimentation design, funnel decomposition, metric definition and guardrails, segmentation, and causal inference within the Analytics & Experimentation domain for social media and mobile product features.

    Analytics & ExperimentationOnsite
  • MetaEasyProduct Analyst
    How would you grow key product metrics?

    This question assesses your ability to systematically approach product growth by identifying bottlenecks, framing hypotheses, and designing experiments to improve key user engagement metrics.

    Analytics & ExperimentationOnsiteMetricsA/B TestingFunnel Analysis
  • MetaEasyProduct Analyst
    Write SQL for call pickup and usage metrics

    This question tests the ability to join event logs, filter by session timing, and calculate per-user metrics using window functions or group-by operations.

    Data Manipulation (SQL/Python)OnsiteSQLAggregationJoins