(USA) Senior, Data Analyst

Walmart • Bentonville, AR

6d • $80,000 - $155,000

About The Position

The Senior Data Analyst will use advanced analytics, statistical modeling, and data science to guide strategic merchandising decisions across assortment, pricing, promotions, product performance, and member engagement. The role applies experimentation, causal inference, and other analytical frameworks to evaluate initiatives and measure incremental impact. Working with merchants and cross-functional stakeholders, the analyst develops scalable solutions, communicates findings, influences business strategy, and supports measurable improvements in sales, profitability, and member experience.

The Merchandising Analytics team uses descriptive, diagnostic, predictive, and causal analytics to uncover opportunities and evaluate merchandising initiatives. It applies SQL, Python, machine learning, statistical modeling, and data visualization to connect advanced analytics with business strategy and improve merchandising outcomes.

The position requires strong SQL, Python, statistical analysis, and data visualization skills, as well as the ability to interpret complex datasets and translate business challenges into actionable insights. The role is based at the listed Bentonville, Arkansas location. The annual salary range is $80,000 to $155,000, with additional annual or quarterly performance bonuses; certain positions may also include Regional Pay Zone compensation based on location.

Requirements

• Strong proficiency in SQL, Python, statistical analysis, and data visualization tools such as Power BI and Looker.
• Experience applying advanced analytical techniques, including regression, hypothesis testing, predictive modeling, and machine learning.
• Understanding of experimentation, causal inference, and measuring incremental business impact.
• Ability to analyze large, complex datasets and translate findings into actionable merchandising insights.
• Strong business acumen and experience in retail analytics, pricing, promotions, assortment, or member behavior.
• Excellent problem-solving, critical-thinking, and data-storytelling skills.
• Ability to independently manage analytical projects and influence cross-functional stakeholders.
• Commitment to data quality, analytical rigor, and continuous improvement.
• One of the following minimum qualifications: 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.
• A master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field.
• Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
• Successful completion of assessments in data analysis, Business Intelligence tools, and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.

Responsibilities

• Partner with merchants to deliver actionable insights across assortment, pricing, promotions, and product performance.
• Apply statistical modeling, predictive analytics, experimentation, and causal inference to evaluate merchandising initiatives and measure incremental impact.
• Analyze member shopping behavior, category preferences, brand loyalty, and engagement to identify growth opportunities.
• Develop scalable analytical solutions using SQL, Python, and advanced data visualization tools.
• Build dashboards and executive-ready reports to communicate insights and influence business decisions.
• Ensure data quality, analytical rigor, and consistency across complex datasets.
• Collaborate with cross-functional teams to translate business challenges into analytical solutions and drive measurable business outcomes.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave; PTO and/or PPTO may be used for vacation, sick leave, holidays, or other purposes.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U company-paid education benefit program, including tuition, books, and fees for eligible programs.
• Performance-based bonus awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior