SQL Quest › SQL Interview Prep › Walmart
Candidates describe a recruiter screen and a virtual panel where the technical round is SQL-heavy and changes requirements as you go — joins across retail tables, thresholds with HAVING, the top product per region.
16 practice challenges · 4 Easy / 6 Medium / 6 Hard · 11 play free · runs in the browser
Walmart does not publish the format. Each row is what candidates and prep guides have described publicly, with its source; where sources disagree, the row says so. Formats change — treat every specific as reported, not official.
| Data analyst stages | A recruiter screen, then a virtual final panel of four or five rounds — technical, business, behavioural and hiring manager — over two to six weeks.[1] |
|---|---|
| The technical round | Live and SQL-heavy; queries are built up as the interviewer changes the requirement. Python is less common and mostly in data-science-leaning roles.[1] |
| Online assessment | Sources disagree: one 2021 candidate reply describes a HackerRank assessment that was SQL only; other guides describe SQL plus Python.[2] |
| Round length | Panel slots are reported at 45–60 minutes; the length of the SQL part alone is not reliably reported.[1] |
Sources: Exponent — Walmart Data Analyst interview guide (by Walmart Labs candidates) (updated mid-2026); Blind — Walmart data analyst assessment thread (10 Jun 2021); DataLemur — histogram of users and purchases (Walmart-tagged) (undated); Data Engineer Academy — Walmart advanced SQL question (24 Mar 2026). Accessed 13 Sep 2026.
Reported most often, in order
Difficulty: Foundational for entry analyst roles (two or three tables); reported as medium for data science and engineering. The data is orders and sales by product, category and region, inventory and restock events, and customer transactions.
Our Walmart practice set, by skill
The 16 SQL Quest challenges tagged Walmart, resolved onto the nine Skillmap skills. A challenge exercises several skills, so shares do not sum to 100%. This is the composition of the practice set on this page, not a measurement of Walmart’s interview.
Shapes candidates and guides report (paraphrased)
Practise now — SQL Quest challenges matched to those patterns
Our challenges, chosen because their SQL matches the shapes above; not questions Walmart has asked. Each card opens the challenge in the browser — no signup.
Skillmap
Ten questions, no signup. You get a readiness score weighted to the SQL this page covers, your Skillmap across joins, window functions, aggregation and the rest, and the weakest skill to practise first.
Drill the skills the Walmart set leans on, one at a time: GROUP BY exercises · JOIN practice · CTE practice · Window function practice · CASE WHEN practice — or browse every SQL practice question.
Every question in the Walmart set, one page each with the schema and a hint: Your First JOIN · High-Volume Categories (HAVING) · Counting Across a JOIN · Filter on an Average You Just Computed · Category Revenue with Relabeling · Membership Tier Revenue Analysis · Multi-Month Active Customers · Country × Category Coverage Matrix (Cross Join) · Active Spender Cohort (HAVING) · Most Recent Order Per Customer (ROW_NUMBER) · Multi-CTE Revenue Pipeline · First and Last Order per Customer · Top Spender Per Country · Revenue Share by Category (Window %) · Order Status Dashboard · Top-N Products per Category.
No signup, no card. Start with the free challenges in the set; the Skillmap shows what to fix before the interview.
Start the Walmart set — free