Senior, Data Analyst - Advanced Analytics (SQL, Tableau, Business Fluency)

Posted: 2026-05-22

Location: BENTONVILLE, AR, United States

Salary: $80000 - $155000/year

Type: Regular/Permanent

Company: Walmart

Responsibilities: Work with large, messy, disparate datasets and conduct ad-hoc analyses to quickly inform critical business decisions. Create ETLs or processes that pull data from multiple places and centralize it in one table. Develop data visualization to monitor and quantify the impact of changes and unique business challenges. Engage with team members and cross-functional teams on a periodic basis and establish credibility. Analyze stakeholder needs and partner with them to share relevant information. This includes partnering with Operations, Finance and Product teams on data accuracy, completeness and latency across multiple operations and systems Leverage scripting languages (Python preferred) to automate activities made for reporting (Screenshots, metrics prioritization and outlier recognition) Document your processes and share your knowledge with your peers. Mentor your peers as you become a Subject Matter Expert.

Minimum Qualifications: 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. Advanced SQL and Tableau user

Preferred: Advanced experience with SQL and Tableau

Summary: Hello there! Are you someone who thrives on solving complex problems and loves to dive deep into data? If so, we've got an exciting opportunity for you at Walmart, the world's largest retailer. We're on the hunt for a Senior Data Analyst who's ready to take on meaningful challenges and make a real impact. 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", "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)", "Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology or related field"]