The Role
Analyzes merchandising data across assortment, pricing, promotions, product performance, and member engagement. Applies statistical modeling, predictive analytics, experimentation, causal inference, and machine learning to measure business impact. Builds scalable SQL and Python solutions, dashboards, and executive reports while partnering with merchants and cross-functional teams to deliver actionable insights and improve sales, profitability, and member experience.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
The Senior Data Analyst will leverage advanced analytics, statistical modeling, and data science techniques to drive strategic merchandising decisions across assortment, pricing, promotions, and member engagement. This role requires strong proficiency in SQL, Python, predictive analytics, and data visualization, along with the ability to translate complex business challenges into actionable insights. The ideal candidate will apply experimentation, causal inference, and analytical frameworks to evaluate business initiatives and measure incremental impact. Partnering closely with merchants and cross-functional stakeholders, this individual will deliver scalable analytical solutions, influence business strategy, and drive measurable improvements in sales, profitability, and member experience.
About the team:
The Merchandising Analytics team transforms complex data into actionable insights to support strategic decisions in assortment, pricing, promotions, and product performance. Utilizing descriptive, diagnostic, predictive, and causal analytics, the team uncovers business opportunities and evaluates merchandising initiatives. Leveraging tools such as SQL, Python, machine learning, statistical modeling, and data visualization, the team develops scalable analytical solutions that influence business outcomes. Collaborating closely with merchants and cross-functional partners, the team bridges advanced analytics with business strategy to enhance sales, profitability, member engagement, and overall merchandising effectiveness.
What you'll do:
What you'll bring:
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).
The Senior Data Analyst will leverage advanced analytics, statistical modeling, and data science techniques to drive strategic merchandising decisions across assortment, pricing, promotions, and member engagement. This role requires strong proficiency in SQL, Python, predictive analytics, and data visualization, along with the ability to translate complex business challenges into actionable insights. The ideal candidate will apply experimentation, causal inference, and analytical frameworks to evaluate business initiatives and measure incremental impact. Partnering closely with merchants and cross-functional stakeholders, this individual will deliver scalable analytical solutions, influence business strategy, and drive measurable improvements in sales, profitability, and member experience.
About the team:
The Merchandising Analytics team transforms complex data into actionable insights to support strategic decisions in assortment, pricing, promotions, and product performance. Utilizing descriptive, diagnostic, predictive, and causal analytics, the team uncovers business opportunities and evaluates merchandising initiatives. Leveraging tools such as SQL, Python, machine learning, statistical modeling, and data visualization, the team develops scalable analytical solutions that influence business outcomes. Collaborating closely with merchants and cross-functional partners, the team bridges advanced analytics with business strategy to enhance sales, profitability, member engagement, and overall merchandising effectiveness.
What you'll do:
- 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.
What you'll bring:
- 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 measurement of incremental business impact.
- Ability to analyze large, complex datasets and translate findings into actionable merchandising insights.
- Strong business acumen with 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.
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).
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Minimum Qualifications...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)Primary Location...2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 2 years of experience in data analysis, data science, statistics, or a related field
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field
- 4 years of experience in data analysis, data science, statistics, or a related field
- Experience in data science, data analysis, statistics, or a related field
- 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 and business intelligence tools and scripting languages, such as SQL, Python, Spark, Scala, R, Power BI, or Tableau
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
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