(USA) Senior, Data Analyst

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.

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.

Pay and benefits

At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!

• 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.
• 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).

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 America