JPMorgan Data Analyst Interview Questions
JPMorgan's data analyst interviews run a recruiter screen, a SQL/Excel technical round, a case study on interpreting a business metric, and a behavioral round on communicating findings to stakeholders.
What to Expect
| Round | Format | Focus | Difficulty |
|---|---|---|---|
| Recruiter screen | 20-30 min | Resume, motivation, logistics | Low |
| Technical interview | 30-45 min | SQL joins/aggregations, Excel, basic statistics | Medium |
| Case study | 45-60 min | Interpret a dataset and make a recommendation | Medium-High |
| Behavioral round | 30 min | Stakeholder communication, handling ambiguous requests | Medium |
Prep time: 1-2 weeks — practice SQL joins and window functions, and prepare one story where you turned a messy dataset into a clear recommendation.
Sample Questions and How to Approach Them
- "Write a SQL query to find the top 10 accounts by transaction count in the last 30 days." Explain your GROUP BY, ORDER BY, and LIMIT logic clearly, step by step.
- "A dashboard shows conflicting numbers from two different reports. How do you resolve it?" Check underlying definitions and time windows first before assuming either report is wrong.
- "How would you explain a 5% drop in a KPI to a non-technical manager?" Practice a plain-language explanation that leads with the "so what," not the methodology.
- "Tell me about a time you had to work with messy or incomplete data." Describe your cleaning process and how you flagged remaining uncertainty rather than presenting results as fully certain.
- "What's the difference between a LEFT JOIN and an INNER JOIN, and when would you use each?" Give the technical definition plus one concrete example (e.g., LEFT JOIN to keep all customers even those with zero transactions).
- "How do you prioritize multiple ad hoc data requests from different stakeholders?" Mention a framework based on urgency and business impact, and a habit of clarifying scope before starting.
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