Senior, Data Analyst
About The Position
The Transportation Operational Analytics role sits at the center of Walmart’s transportation ecosystem, supporting how freight moves end‑to‑end - from distribution centers to suppliers to stores. This position turns transportation system data into actionable insights that improve how trucks are planned, dispatched, monitored, and optimized across the network. This role partners closely with Transportation Operations, Home Office teams, and Field Support to analyze system performance, uncover inefficiencies, and drive data‑backed improvements that enhance service, reduce cost, and strengthen operational execution at scale. The Transportation Operational Analytics team serves as the central analytics hub for Walmart’s Transportation organization, enabling data‑informed decisions across the enterprise. We support the systems and processes that move trucks across the network -analyzing how freight flows from DCs to suppliers and stores, how transportation systems perform, and where opportunities exist to improve speed, cost, and service. The team focuses on: Building dashboards and analytical tools that monitor transportation KPIs and system performance. Supporting AOP savings initiatives through advanced analytics and optimization strategies. Providing ad‑hoc and executive‑ready analytics that support fast, informed decision‑making. Driving analytics for pilots and strategic initiatives tied to transportation systems, processes, and network changes. As part of this team, you’ll apply advanced analytics to real operational challenges, helping improve network efficiency, system reliability, and day‑to‑day transportation execution.
Requirements
- Expertise in SQL, Python, and data visualization tools such as Tableau or Power BI.
- Strong understanding of data quality management, data governance, and database technologies.
- Experience applying statistical techniques and exploratory data analysis to operational datasets.
- Ability to translate business and operational requirements into impactful analytics solutions.
- Proven experience delivering insights in a fast‑paced, cross‑functional environment.
- Interest in understanding real‑world logistics and transportation processes—not just reporting outcomes.
- 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.
- OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- OR 4 years' experience in data analysis, data science, statistics, or related field.
Nice To Haves
- 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)
Responsibilities
- Analyze transportation system data that supports the movement of trucks across the network - from distribution centers to suppliers and stores.
- Evaluate how operational processes and system configurations impact service, cost, utilization, and execution.
- Identify gaps, inefficiencies, and improvement opportunities within transportation workflows and supporting systems.
- Extract, validate, and manage data from multiple transportation systems and data sources.
- Build and maintain scalable data pipelines and architectures to support analytics use cases.
- Ensure data accuracy, integrity, and alignment with governance and compliance standards.
- Perform advanced analysis using SQL, Python, and statistical methods to uncover trends, risks, and optimization opportunities.
- Translate operational and system data into clear, actionable insights that drive efficiency and cost savings.
- Build dashboards and visualizations that provide visibility into transportation KPIs, performance drivers, and system health.
- Partner with Transportation Operations, Home Office teams, and cross‑functional stakeholders to define problems and align on metrics.
- Communicate insights through compelling storytelling and visualizations tailored to operational and leadership audiences.
- Support leadership with ad‑hoc analyses to enable timely, data‑backed decisions.
- Lead root‑cause analyses to identify operational and system drivers of performance issues.
- Recommend and support process and system improvements using data‑driven insights.
- Support pilots and strategic initiatives by providing analytics that inform decision‑making and scaling decisions.
- Serve as a thought partner and mentor, promoting data‑driven decision‑making and continuous improvement practices.
- Ensure strong data quality, governance, and reliability across analytics solutions and deployments (e.g., GCP BigQuery).
- Contribute technical expertise to analytics development and operational problem‑solving.
Benefits
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
