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.
In your first 12–18 months, you’ll take ownership of these critical performance objectives:
1. 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. Collaborate with fuel leaders, understand KPIs, extract and clean data, and deliver clear, high-impact insights through dashboards or data stories. Results will influence business strategy, resource allocation, and frontline execution.
2. Develop Scalable Reporting Tools and Decision Support Systems
By the end of your first 6 months, create and operationalize automated dashboards and reporting solutions using tools like PowerBI or Tableau, ensuring they are fully adopted by business users and drive measurable productivity improvements.
3. Build Predictive and Prescriptive Statistical Models for Key Fuel Use Cases
By month 9, deliver statistical and machine learning models (e.g., regression, clustering, time series forecasting) that address high-priority business scenarios such as demand planning, labor optimization, or member churn. Clearly communicate model performance, business implications, and recommended actions.
4. Champion Data Strategy and Governance Practices
Continuously improve data accuracy, usability, and trust. Within your first 120 days, identify 3+ recurring data quality issues, propose solutions, and partner with data engineering or governance teams to ensure long-term resolution and traceability.
5. 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 (e.g., for text classification or scenario generation) in fuel analytics workflows. Collaborate with engineering and business teams to assess feasibility and value.
What You’ll Bring
You are a curious, business-oriented analyst who thrives in ambiguity and can connect dots across data, people, and strategy. You bring 4–6 years of experience in an applied analytics role with demonstrable achievements in solving complex business problems using data. You’ve worked with distributed data sources (SQL, NoSQL, cloud environments), and are comfortable in both exploratory and production-grade analysis. You have hands-on experience with tools such as Python, R, or Scala, and can explain technical outcomes to non-technical stakeholders with clarity and conviction. Familiarity with machine learning models and a growing interest in generative AI put you at the frontier of modern analytics. You’re passionate about impact — not just dashboards.
Critical Subtasks
These foundational tasks enable you to deliver the outcomes above. You’ll:
1) Partner with stakeholders across regions to frame ambiguous business problems into clearly defined analytical questions that drive measurable business outcomes.
2) Conduct structured exploratory data analysis using advanced statistical techniques and tools (e.g., Python, R, Excel) to uncover actionable trends, outliers, and root causes.
3) Design, build, and maintain robust data pipelines using Python and SQL to extract, transform, and load data from multiple distributed sources, ensuring accuracy, performance, and reusability. This is a must-have skill.
4) Develop and maintain dynamic dashboards using PowerBI to enable real-time visibility into key operations metrics, ensuring adoption and usability across business audiences.
5) Proactively monitor, validate, and troubleshoot datasets and queries used in key dashboards and reporting tools. Prioritize solutions that ensure data reliability and speed.
6) Collaborate cross-functionally with data engineering and IT teams to resolve upstream data quality issues, integrate third-party sources, and support evolving platform requirements. Experience with SAP systems is a strong plus.
7) Continuously Evaluate and Integrate AI to Improve Performance
Within the first 90–180 days, take ownership of identifying how AI and automation tools (e.g., LLMs, GPT-based copilots, workflow orchestration frameworks) can support or enhance analytics delivery, reporting workflows, or data validation processes across fuel-facing initiatives.
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!
For information about PTO, see https://one.walmart.com/notices.
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.
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.
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)
2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America
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 clubs 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. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.
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, abilities, ideas and opinions- while being welcoming of all people.
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