JPMorgan Chase Data Analyst interview typically runs 3–5 rounds: HireVue screening, manager/team interview, optional case study, and a superday with mixed technical and behavioral interviews. The process spans several weeks and varies by team, with a strong emphasis on motivation, communication, and fit throughout.
$72K
Avg. Base Comp
$122K
Avg. Total Comp
4-5
Typical Rounds
3-6 weeks
Process Length
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Synthesized from 5 candidate reports by our editorial team.
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Real interview reports from people who went through the Jpmorgan Chase & Co. process.
The interview was more behavioral than technical, which surprised me a bit for a Data Analyst role. It started with a HireVue, and the first prompt was actually why I wanted to do investment banking, which threw me off since the role was in middle market banking and felt more commercial than classic investment banking. The good part was that I had multiple tries for each question, so I was able to re-record and tighten up my answers. The questions were straightforward but broad: walk through your resume, why JPMorgan, what I like about the job, and then several behavioral prompts about analyzing complex data to make a decision, handling pressure and competing priorities, working through a challenging project, and influencing a client or stakeholder. I treated it like a story interview and tried to keep each example structured and concise rather than over-explaining.
What stood out to me was that they seemed to care a lot about motivation and fit, not just technical ability. There wasn’t any live case or coding, just a lot of emphasis on how I communicate, how I make decisions under pressure, and whether I could speak credibly about working with stakeholders. The process felt polished and pretty standard once I got past the odd investment banking wording. I ended up declining the offer, but the interview itself was not especially difficult if you’re comfortable with behavioral questions and can give clear examples from your experience.
Prep tip from this candidate
Prepare 4–5 tight STAR stories covering data-driven decision-making, competing priorities, a challenging project, and stakeholder influence, since those are the exact behavioral themes asked. Don't be caught off guard if the HireVue prompt references "investment banking" even for a commercial or analyst role — stay composed and redirect your answer toward your genuine interest in the specific position.
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Topics based on recent interview experiences.
Featured question at Jpmorgan Chase & Co.
Find the total salary of slacking employees.
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| Stories Success |
Synthesized from candidate reports. Individual experiences may vary.
The process typically begins with an automated HireVue video interview. Candidates answer a small set of recorded prompts covering why JPMorgan, why the specific division, a resume walkthrough, and behavioral or personality-style questions. Multiple attempts per question are often allowed, and the screen focuses heavily on motivation, communication style, and cultural fit.
Some candidates have a 30-minute phone or Teams screen with a recruiter or HR representative before advancing to team interviews. This step covers basic background, communication skills, and initial motivation, and may include light questions about strengths, weaknesses, and career goals.
Candidates then meet with the hiring manager and one or more team members, typically over Teams or in person depending on location and team preference. This round is largely resume-driven, with questions about past projects, coursework, and prior experience, plus light technical discussion around SQL, Excel, Python or R, data visualization, and analytical problem-solving relevant to banking operations.
Some interview tracks include a written case study or a group assignment completed alongside other candidates. This stage evaluates how you structure a business problem, collaborate under time pressure, and communicate your reasoning clearly without dominating the discussion.
The final stage is typically a superday consisting of several back-to-back interviews that mix behavioral, technical, and situational questions. Technical topics can include Python coding, data reconciliation, Excel formulas, automation workflows, and database thinking, while behavioral prompts revisit motivation, stakeholder influence, and handling competing priorities. Note that the exact format varies by team, service line, and geography.