Senior, Data Analyst Job at Sam's Club in Bentonville

Get AI-powered advice on this job and more exclusive features.

This range is provided by Sam's Club. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$80,000.00/yr – $155,000.00/yr

Position Summary

Immigration sponsorship is not available for this role. As a Senior Data Analyst at Sam’s Club, you will play a vital role in supporting the fuel business with advanced analytics and data-driven decision‑making. You’ll partner with cross‑functional stakeholders to translate business challenges into actionable insights, enabling smarter, faster, and more strategic operations. In this highly visible role, you will work with large‑scale datasets and evolving platforms to uncover patterns, automate reporting, and build predictive models. This is an exceptional opportunity for someone who thrives at the intersection of business context, statistical depth, and innovative technologies like machine learning and generative AI.

What You'll Do

• Lead End‑to‑End Fuel Analytics Projects Across Regions: Within 60–90 days, take ownership of the analytics lifecycle for major regional or national fuel operations requests.
• Develop Scalable Reporting Tools and Decision Support Systems: By the end of the first 6 months, create and operationalize automated dashboards and reporting solutions using PowerBI or Tableau, ensuring business users adopt them and drive measurable productivity improvements.
• Build Predictive and Prescriptive Statistical Models for Key Fuel Use Cases: By month 9, deliver regression, clustering, and time‑series forecasting models that address demand planning, labor optimization, or member churn, and communicate model performance and recommended actions.
• Champion Data Strategy and Governance Practices: Within the first 120 days, identify three recurring data quality issues, propose solutions, and partner with data engineering or governance teams to resolve them long‑term.
• Translate Business Problems into Analytical Approaches Using GenAI and Emerging Methods: By month 6, design and test at least two experimental approaches using generative AI or large language models for text classification or scenario generation.
• Continuously Evaluate and Integrate AI to Improve Performance: Within 90–180 days, identify opportunities to use LLMs, GPT‑based copilots, and workflow orchestration to enhance analytics delivery, reporting workflows, or data validation.
• Partner with stakeholders across regions to frame ambiguous business problems into clearly defined analytical questions that drive measurable outcomes.
• Conduct structured exploratory data analysis using advanced statistical techniques and tools such as Python, R, and Excel.
• Design, build, and maintain robust data pipelines using Python and SQL to extract, transform, and load data from multiple sources, ensuring accuracy, performance, and reusability.
• Develop and maintain dynamic dashboards in PowerBI to provide real‑time visibility into key operational metrics.
• Proactively monitor, validate, and troubleshoot datasets and queries used in dashboards and reporting tools.
• Collaborate cross‑functionally with data engineering and IT teams to resolve upstream data quality issues and integrate third‑party sources.

What You'll Bring

• Curious, business‑oriented analyst who thrives in ambiguity and connects dots across data, people, and strategy.
• 4–6 years of applied analytics experience with demonstrable achievements in solving complex business problems using data.
• Experience designing, building, and maintaining robust data pipelines using Python and SQL.
• Proven expertise in uncovering actionable insights and crafting compelling data stories to drive strategic decision‑making.
• Comfort working with distributed data sources (SQL, NoSQL, cloud) in both exploratory and production environments.
• Hands‑on experience with Python, R, or Scala and ability to communicate technical outcomes to non‑technical stakeholders.
• Proficiency in PowerBI.
• Familiarity with machine learning models and a growing interest in generative AI.

Preferred Qualifications and Experience

• Experience with SAP systems.

About Sam’s Club

Sam Walton opened the first Sam’s Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam’s Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 internationally. By offering affordable, wholesale merchandise to members, Sam’s Club helps make saving simple for families and small business owners. Sam’s Club employs about 110,000 associates in the U.S.

Future Ways of Working

Our company’s success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps shape culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility to promote a healthy work‑life balance but recognize that in‑person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.

Benefits

• Health benefits: medical, vision, and dental coverage.
• Financial benefits: 401(k), stock purchase, and company‑paid life insurance.
• Paid time off: PTO, parental leave, family care leave, bereavement, jury duty, voting.
• Other benefits: short‑term and long‑term disability, company discounts, military leave pay, adoption and surrogacy expense reimbursement, and more.
• Live Better U: a paid education benefit program for full‑time and part‑time associates.

Equal Opportunity Employer

Sam’s Club is an Equal Opportunity Employer – by choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions while welcoming all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not intended to contain a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.

For more information about benefits and eligibility, see One.Walmart.