(USA) Senior, Data Analyst, Transportation - Inbound Planning and Optimization
About The Position
The Senior Data Analyst supports strategic decision-making by using data analysis, visualization, and business intelligence. The role identifies and validates data sources, ensures data quality, applies analytical techniques to uncover insights, and works with cross-functional teams to translate business challenges into data-driven solutions. It also develops visualizations and supports data strategy initiatives to improve business outcomes. The role is part of Walmart’s Transportation - Inbound Planning and Optimization team, which works to improve inbound transportation efficiency, cost-effectiveness, and service quality. The team uses advanced analytics and collaboration with operational partners to optimize shipment planning, routing, and execution. Its work includes analyzing shipment patterns, ensuring data quality, performing root cause analysis, and developing scalable solutions using tools such as SQL, Python, and Agentic AI.
Requirements
- Expertise in data analysis, statistical techniques, and exploratory data analysis using tools such as SQL, Python, and relevant BI platforms.
- Knowledge of data quality management, including profiling, cleansing, and monitoring.
- Ability to translate complex business requirements into actionable data strategies aligned with organizational goals.
- Proficiency in data visualization tools and practices for communicating insights to stakeholders.
- Understanding of business intelligence, metrics, and research methodologies across multiple business domains.
- Project management skills and ability to lead initiatives and deliver results.
- One of the following qualification paths: a bachelor's degree in a listed or related field and 2 years of experience in data analysis, data science, statistics, or a related field; a master's degree in a listed or related field; or 4 years of experience in data analysis, data science, statistics, or a related field.
Nice To Haves
- Experience in data science, data analysis, statistics, or a related field.
- Master’s degree in a listed or related field.
- Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
- Successful completion of assessments in data analysis and business intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.
Responsibilities
- Influence stakeholders to define problems, align metrics, and deliver results.
- Communicate insights through clear storytelling and visualizations to technical and non-technical audiences.
- Share project updates, results, and risks with leadership and business partners.
- Explore and implement analytics and automation tools.
- Collaborate on practical AI/ML initiatives and promote best practices and data literacy.
- Identify and deliver data-driven opportunities to improve decision-making and efficiency.
- Translate complex data into actionable recommendations.
- Build dashboards and tools to monitor transportation and supply chain performance, trends, and KPIs.
- Ensure data quality, integrity, and governance for analytics and model deployment, using GCP BigQuery or similar.
Benefits
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave.
- Parental leave.
- Family care leave.
- Bereavement leave.
- Jury duty leave.
- Voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- Live Better U education benefit program, including tuition, books, and fees for eligible programs.
- Performance-based bonuses.
- Stock compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
