Senior, Data Analyst - Transportation Modeling

Walmart Walmart · Retail · Bentonville, AR

Senior Data Analyst focused on building and maintaining transportation and supply chain models, including simulation and scenario analysis, to support strategic decisions within Walmart's Supply Chain and Transportation divisions. The role involves partnering with cross-functional teams, assessing tradeoffs, and communicating complex findings to stakeholders.

What you'd actually do

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

Skills

Required

  • 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.

Nice to have

  • 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)