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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst II - **Company:** Wal-Mart Stores, Inc. - **Location:** Bentonville, AR, United States - **Experience:** Experienced - **Salary:** $70,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Governance, Data Visualization, Relational Databases, R (Programming Language), Python (Programming Language), Power BI, Scala (Programming Language), SQL Databases, Tableau (Software), Scripting, Apache Spark, Data Strategy, Information Technology, Data Analytics, Virtual Agents, Custom Reports - **Published:** June 30, 2026 - **Apply:** https://dejobs.org/x/x/06D2B1B797C54027A9A79CEB5A722E38/job/ ## About the Role * Proficiency in SQL, Python, and data visualization tools such as Tableau to analyze and present complex data effectively. * Strong understanding of data quality management, including profiling, cleansing, and validation techniques. * Experience in exploratory data analysis to identify trends, correlations, and outliers. * Ability to interpret business context across multiple domains and translate data insights into actionable recommendations. * Skilled in communicating findings clearly to stakeholders and supporting decision-making processes. * Proficient with relational databases, business intelligence tools (Tableau preferred) * Demonstrated project management capabilities and experience with ad hoc reporting. * Critical thinking, curiosity, and a problem-solving mindset., 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 Option 2: 2 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 (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying relevant data sources, applying analytical techniques, and delivering actionable insights to drive project success. The role requires collaboration with cross-functional teams to understand business context and communicate findings effectively. Proficiency in SQL, Python, and business intelligence tools is essential to support data-driven strategies and continuous improvement initiatives within a dynamic environment. About the team: The Transportation - Inbound Planning and Optimization team enhances the efficiency, cost-effectiveness, and service quality of inbound transportation operations. By leveraging advanced analytics, data-driven insights, and collaboration with operational partners, the team optimizes shipment planning, routing, and execution. Responsibilities include analyzing shipment patterns, ensuring data quality, conducting root cause analysis, and developing scalable solutions. Utilizing tools such as SQL, Python, and developing Agentic AI solutions, the team drives continuous improvement, process automation, and reliable transportation planning aligned with organizational goals. This team plays a vital role in translating business needs into actionable projects and system enhancements. What you'll do: * Identify, extract, and validate data from multiple sources to support business requirements and process optimization. * Perform initial and ongoing data quality checks, ensuring data is fit for purpose and meets business needs. * Apply data strategy principles, including data governance, accessibility, and scalability, to routine and complex business problems. * Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand business context, develop business cases, and translate requirements into actionable projects. * Demonstrate strong project management skills, stakeholder management, and a continuous improvement mindset. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [JavaScript? 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