Walmart Business Analyst candidates describe behavioral conversations and a technical round, with one reporting Excel and SQL tasks. Here is what they reported and how to prepare for each stage.
$106K
Avg. Base Comp
$134K
Avg. Total Comp
2 rounds
Typical Rounds
2 weeks
Process Length
Walmart Business Analyst candidates describe an interview that blends conversation with light hands-on analytics. Two reports for the role each describe two rounds. In one, a mostly behavioral first round was followed by a second round on BA theory, past work and scenario questions, and that candidate said the process took about two weeks. In the other, a behavioral interview with the hiring manager was followed by a technical round. A third report describes a longer path that began with a behavioral screen, moved to the hiring manager and then to further interviews, so the number of stages is not uniform.
The technical round in one report centered on an Excel workbook. The candidate calculated a few columns, built a pivot table, drew a simple bar chart and answered business recommendation questions. Three SQL questions were written in the same file and were described as very easy: second-highest salary, top N users using DENSE_RANK, and a rolling seven-day average with a window function.
Behavioral questions focused on why Walmart, the skills a candidate could bring, goals with the company, and a walkthrough of prior experience. One candidate with an MIS background used Python and SQL examples to show how technical work supported business decisions. Another was asked how they saw the market over the next five years. Outcomes varied: one candidate received an offer and declined it, and two were rejected.
Prepare a concise introduction, a project story with a clear business result, and comfort with window functions, ranking and pivot tables.
Synthesized from 8 candidate reports by our editorial team.
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Real interview reports from people who went through the Walmart process.
The process was longer than I expected: it began with a behavioral screening, followed by a conversation with the hiring manager and then additional interviews. The first formal round leaned technical, while the second mixed technical and behavioral questions. I was asked to introduce myself, explain what my prior work experience included, why I wanted to work for Walmart, what my goals with the company were, and where I saw both the market and myself over the next five years.
The most frustrating part was the recruiter call. After I finished presenting myself, the recruiter commented that one of my talking points was interesting, even though I had never said it. I could hear iMessage texting during the call, which made it seem like they were distracted. The interviewers in the later stages were pleasant, but the overall process felt drawn out. The questions themselves were manageable if you had prepared, though I would not call the process effortless because the technical-focused first round required more preparation than the screening.
After the lengthy process, I received an automated rejection email. My main advice is to have a concise introduction ready and be able to connect your experience and career goals to Walmart, while also preparing a thoughtful view of where the market could be in five years.
Prep tip from this candidate
Prepare a concise self-introduction and specific answers for why Walmart, your goals with the company, your prior work experience, and how you see the market over the next five years.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Walmart
Write a query that returns all neighborhoods that have 0 users.
| Question | |
|---|---|
| 2nd Highest Salary | |
| Customer Orders | |
| Subscription Overlap | |
| Top 3 Users | |
| Over 100 Dollars | |
| Scrambled Tickets | |
| Bagging vs Boosting | |
| Rejection Reason | |
| Last Transaction | |
| P-value to a Layman | |
| Groups of Anagrams | |
| Cumulative Sales Since Last Restocking | |
| Hurdles In Data Projects | |
| Reducing Error Margin | |
| Order Addresses | |
| Assumptions of Linear Regression | |
| Rider Discount | |
| Black Friday Shopping Spree | |
| Using R Squared | |
| Seasonal Product Performance Analysis | |
| Highest Average | |
| Employee Benefits Outreach | |
| D2C Socks e-Commerce | |
| Multicollinearity in Regression | |
| Merchant Dashboard Design | |
| Type I and II Errors | |
| Deciding Between Solutions | |
| Scalable Data Pipelines | |
| Testing Constraints |
Synthesized from candidate reports. Individual experiences may vary.
Candidates describe an early behavioral conversation. Questions included why they wanted to work for Walmart, what skills they could bring, and how they would work with the team. Have a short introduction ready and tie your background to Walmart's business.
One candidate had a behavioral interview with the hiring manager. Another described a second round on BA theory, detailed work experience and scenario questions. Expect to walk through your own projects and explain how Python or SQL supported business decisions.
One candidate worked in an Excel workbook: calculating columns, building a pivot table and a simple bar chart, then answering business recommendation questions. Three easy SQL questions followed in the same file: second-highest salary, top N users with DENSE_RANK, and a rolling seven-day average.
Reports differ here. Two describe two rounds, and one of them says the process took about two weeks and ended in an offer that was declined. A third report describes a screen, a hiring manager conversation and further interviews, ending in an automated rejection email.
