Senior, Data Analyst - Transportation Modeling

Position Summary

Walmart is hiring a Senior, Data Analyst – Transportation Modeling to support strategic, data-driven decisions across Supply Chain and Transportation. In this role, you’ll use advanced analytics and modeling approaches to evaluate complex “what-if” scenarios and translate results into clear insights for business partners and leaders. This is a high‑visibility role with a broad stakeholder group. You’ll work across teams to understand the business question, structure the analysis, and communicate recommendations that help inform long-term network and transportation strategy.

• Build, maintain, and run transportation and supply chain models (including simulation and scenario analysis) to evaluate strategic initiatives.
• Partner with cross-functional teams to define the problem, gather inputs, validate assumptions, and ensure outputs are decision-ready.
• Assess tradeoffs across cost, service, capacity, and operational feasibility for initiatives such as new facilities, new services, and network changes.
• Develop executive‑ready materials (storytelling, visuals, and summaries) that clearly explain model results, risks, and recommendations.
• Support multiple concurrent projects in a fast‑paced environment and help drive alignment across stakeholders.

• Strong transportation and/or supply chain domain understanding and the ability to connect how decisions impact cost and service.
• Experience using modeling tools and/or third‑party software to evaluate network, routing, capacity, or operational scenarios.
• Strong analytical problem‑solving skills and comfort working with ambiguous, open‑ended questions.
• Ability to communicate complex findings clearly to both technical and non‑technical audiences.

At Walmart, we offer competitive pay as well as performance‑based bonus awards. The annual salary range for this position is $80,000.00 - $. Additional compensation includes annual or quarterly performance bonuses and (for certain positions) stock options.

Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase, and company‑paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.

The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For more information about benefits and eligibility, see

• Option 1:
  Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years of experience in data analysis, data science, statistics, or related field.
• Option 2:
  Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Option 3: 4 years of experience in data analysis, data science, statistics, or related field.

• Data science, data analysis, statistics, or related field.
• Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Related industry experience (for example, retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau).

805 Respect Dr, Bentonville, AR 72716, United States of America. Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.