Senior, Data Analyst

Role Summary

Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain network. This role focuses on improving frontline managers’ operations by reducing manual work, automating workflows, and enabling smarter, faster decision‑making through data and AI‑driven solutions.

You will join a small, high‑impact technical team led by Spencer Jordan that supports Walmart’s ambient supply chain, specifically general merchandise distribution centers. The team develops network‑wide tools and solutions used across both field operations and the home office.

• Partner with field operations teams to understand workflow challenges and identify opportunities for improvement
• Design and build scalable data and automation solutions to reduce manual processes
• Leverage AI and intelligent workflows to enhance speed, accuracy, and decision‑making
• Translate complex business problems into actionable, data‑driven solutions
• Develop dashboards, reports, and visualizations to communicate insights effectively
• Identify, evaluate, and manage data sources to ensure accuracy and reliability
• Perform data quality assessments and maintain ongoing monitoring processes
• Collaborate cross‑functionally with operations, product, and analytics teams to implement solutions
• Influence stakeholders and drive adoption of new tools and processes
• Mentor junior analysts and promote best practices in data analysis and visualization

• Experience building tools or solutions that automate workflows and improve operational efficiency
• Background in data analytics, software development, or web development
• Familiarity with applying AI or intelligent automation to solve business problems
• Strong problem‑solving skills with the ability to translate business needs into technical solutions
• Excellent communication and stakeholder management skills
• Ability to work cross‑functionally and influence without direct authority

• Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or related field, and 2 years’ experience in data analysis, data science, statistics, or related field
• Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field
• 4 years’ experience in data analysis, data science, statistics, or related field

• Advanced degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Computer Science
• Related industry experience (e.g., retail, merchandising, healthcare, eCommerce)
• Successful completion of assessments in data analysis and business intelligence tools and scripting languages (SQL, Python, Spark, Scala, R, Power BI, Tableau)

• Health benefits (medical, vision, and dental coverage)
• 401(k) retirement plan with company match and stock purchase program
• Paid time off (PTO, sick leave, parental leave, family care leave, jury duty, voting)
• Long‑term disability and short‑term disability coverage
• Employee discount card and on‑site wellness programs
• Live Better U educational benefit with 100% tuition coverage for eligible associates
• Drug‑free workplace policy