Walmart Business Analyst candidates describe behavioral and fit conversations alongside practical Excel, SQL, and business-recommendation work. Prepare concise experience stories and explain how analysis informs a decision.
$96K
Avg. Base Comp
$120K
Avg. Total Comp
2-4 rounds
Typical Rounds
2 weeks
Process Length
Walmart Business Analyst interviews described here combine conversation-based evaluation with hands-on analytical work. Two candidates explicitly reported two rounds: one described a behavioral hiring-manager interview followed by a technical round, while another described a behavioral first round and a second conversation on BA theory, work experience, technical scenarios, and fit. A further account described a behavioral screen, a hiring-manager conversation, and additional interviews, so the sequence can vary.
For the technical work, the clearest account involved an Excel workbook: calculating columns, building a pivot table and simple bar chart, then using the results to answer business-recommendation questions. That same candidate completed SQL questions on second-highest salary, top-N users with DENSE_RANK, and a rolling seven-day average. Another candidate received a SQL case using order data to assess order volume and identify high-revenue products. Practice moving from a spreadsheet or query result to a clear business recommendation, not only producing the calculation.
Behavioral preparation should be equally concrete. Candidates were asked to introduce themselves, discuss prior experience, explain why Walmart, describe skills they could bring, and connect career goals to the company. One account also mentioned a five-year view of the market and the candidate’s own direction. Prepare short examples that show how you used analysis to support a decision, then state the outcome and your reasoning in plain language. Evidence on the exact sequence is limited and varies by candidate.
Synthesized from 6 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 | |
| Last Transaction | |
| Rejection Reason | |
| 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 | |
| Employee Benefits Outreach | |
| Highest Average | |
| Multicollinearity in Regression | |
| D2C Socks e-Commerce | |
| Type I and II Errors | |
| Merchant Dashboard Design | |
| Deciding Between Solutions | |
| Scalable Data Pipelines | |
| Testing Constraints |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report behavioral conversations that may cover an introduction, prior work, why Walmart, relevant skills, career goals, and fit with the team. Prepare concise examples rather than a broad biography, and connect each example to a business result or decision.
One candidate described a later round focused on BA theory, work experience, and technical or scenario-style questions. Review the fundamentals you use in practice and be ready to explain how technology or analysis can inform operations and business choices.
A candidate reported an Excel workbook exercise with calculated columns, a pivot table, a simple bar chart, business questions, and SQL written in the worksheet. Reported SQL included ranking, second-highest values, and a rolling seven-day average; a separate candidate described an orders-data revenue case.
