For this interview, get ready to do Python + ML + Open-Ended Case Studies. Also, be ready for product metrics type questions, like key KPIs you'd use that are both technical (for a ML type problem) but also more business-y KPIs for a more analytics focused business question. Read Ace the Data Science Interview chapter on ML + Product Sense + Stats to get ready for the interview, and can solve SQL/Python questions as well on DataLemur (they have a few real ones coming from Walmart on the site already). More on reddit.com

Check out Ace the Data Science Interview there's a few problems from Walmart in there! More on reddit.com

I did the data science intern one, and it was 10 minutes of stats questions (mix of multiple choice and open ended) covering things like probability, distributions, and confusion matrix, 10 minutes of ML questions such as which model do you use, cross validation, etc, and then leet code style questions. I only got 2, first one was easy-medium and second was medium. Interviewer kept rushing me tho, most likely since as 3rd party interviewer they need to go through as many questions as possible. For senior data scientist, probably much more in-depth stats/ml questions. More on reddit.com

Focus on sharpening your SQL skills immediately. Walmart's data analyst roles often involve complex queries and data manipulation, so prioritize practicing SQL exercises and real-world scenarios. Platforms like LeetCode, HackerRank, or SQLZoo offer great practice problems. Also, familiarize yourself with Walmart's business model, their data-driven approach, and recent initiatives. Be ready to discuss how you'd apply data analysis to solve retail-specific challenges. Don't underestimate the importance of showcasing your problem-solving abilities and business acumen. Prepare examples of how you've used data to drive decisions in your previous roles. Even if your SQL isn't perfect, demonstrating strong analytical thinking and the ability to translate data insights into actionable recommendations can set you apart. Consider using AI mock interview to practice answering common data analyst interview questions. I'm on the team that created it, and it's designed to help you navigate tricky interview scenarios, especially when you're feeling uncertain about your skills. More on reddit.com