Senior, Data Analyst - Transportation Modeling

Position Summary

The Senior Data Analyst at Walmart supports business decision-making through advanced data analysis and visualization. Key responsibilities include identifying and validating data sources, ensuring data quality, applying statistical techniques, translating complex business requirements into data-driven solutions, collaborating across functions, and communicating findings effectively.

What you'll do

• Identify and assess appropriate data sources aligned with business requirements and service level agreements.
• Perform initial data quality checks and manage ongoing data quality improvements to ensure accuracy and reliability.
• Translate complex business problems into data-driven solutions using advanced analytics and statistical techniques.
• Develop and deliver clear, insightful data visualizations tailored to stakeholder needs.
• Collaborate with cross-functional teams to align data initiatives with business strategy and operational goals.
• Support data governance by promoting standards, policies, and best practices across data management processes.
• Mentor junior analysts and contribute to continuous improvement of analytical methods and tools.

About the team

The team focuses on optimizing network operations by leveraging advanced modeling and simulation tools to shape future execution strategies. They apply expertise in transportation analysis, logistics engineering, and supply chain optimization to enhance efficiency and effectiveness. Collaboration across functions ensures that complex data is translated into actionable insights supporting strategic decision-making.

What you'll bring

• Extensive experience in data analysis with strong knowledge of SQL, GCP, and distributed data stores.
• Experience with/Openness to using AI tools to create visualizations and agentic workflows to simplify day-to-day operations.
• Proficiency in data quality management, including profiling, cleansing, and monitoring to ensure accuracy and reliability.
• Ability to translate complex business requirements into data-driven solutions aligned with organizational strategy.
• Expertise in exploratory data analysis using statistical techniques and relevant tools such as Python and Excel.
• Understanding of data governance, storage, scalability, and enterprise data architecture principles.
• Strong business acumen across multiple domains including finance, marketing, and technology.

Benefits

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, military leave pay, adoption and surrogacy expense reimbursement, and more.

Minimum Qualifications

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

Preferred Qualifications

• 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).