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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior, Data Analyst - Network Planning - **Company:** Wal-Mart Stores, Inc. - **Location:** Bentonville, AR, United States - **Experience:** Expert - **Salary:** $80,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Visualization, R (Programming Language), Python (Programming Language), Power BI, Scala (Programming Language), SQL Databases, Tableau (Software), Scripting, Apache Spark, Information Technology, Data Analytics, Network Optimization - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bbe1869a274feb2a ## About the Role Strong analytical and problem-solving skills with experience in SQL, Tableau, data modeling, and visualization to translate complex data into actionable business insights. Demonstrate the ability to manage multiple projects independently, navigate ambiguity, and make data-driven decisions in fast-paced environments. Combine technical expertise with strong communication and project management skills to collaborate effectively across teams and drive impactful supply chain and transportation solutions., Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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) ## Description The Senior Analyst will drive transportation and network planning strategies that improve delivery speed, reduce costs, and enhance the customer experience across the eCommerce supply chain. This role leverages analytics and data visualization to identify opportunities, support data-driven decision-making, and implement scalable operational improvements. The Senior Analyst will collaborate cross-functionally with Operations, Inventory Planning, and Data Science teams to deliver strategic initiatives and continuous improvement across the network. About the team: The Network Planning team within Last Mile Delivery focuses on designing the outbound eCommerce transportation network by applying advanced analytics to enhance speed, cost efficiency, and service quality. As a rapidly expanding network, the team develops initiatives and frameworks to support business growth and shape the network's future. Members manage complex data sets, evaluate current and potential opportunities, and collaborate with operations and cross-functional partners to implement network improvements. This team offers a dynamic environment for professionals skilled in data analysis, visualization, and project management to contribute to impactful, data-driven solutions. What you'll do... * Drive outbound transportation network optimization through lane planning, carrier management, and analytics to improve delivery speed and reduce costs. * Leverage SQL and Tableau to identify opportunities, develop visualizations, and measure business impact. * Make data-driven decisions that align operational and strategic priorities while creating scalable supply chain solutions. * Partner cross-functionally with Operations, Inventory Planning, and Data Science teams to execute initiatives, drive continuous improvement, and deliver customer-focused network enhancements. ## Related Videos - [JavaScript? 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