(USA) Senior, Data Analyst - AI Applications & Advanced Analytics

Position Summary...As a Senior Data Analyst on the Leadership Assessment Team, you'll design and deliver AI-powered applications and advanced analytics solutions that improve leadership assessment, talent development, and organizational decision-making. You'll work across the solution lifecycle—from understanding business needs and rapidly prototyping new capabilities to developing, deploying, and supporting production-ready solutions.

About the team:

The Leadership Assessment Team delivers objective, data-driven insights to support the identification, selection, promotion, and development of leaders across Walmart, Sam’s Club, and international markets. Operating within the Global Talent and Learning Center of Excellence, this collaborative group includes assessment experts, data engineers, application developers, and AI specialists. The team integrates leadership science, data, technology, and responsible AI to create innovative solutions that enhance organizational outcomes and associate experiences. Their work focuses on advancing leadership capabilities through precise data analysis and targeted development strategies aligned with business goals.

What you'll do...

• Design and deploy AI enabled applications and analytics products that improve business processes, decisions, and associate experiences.
• Develop GenAI and LLM solutions using prompt engineering, RAG, AI agents, and emerging capabilities.
• Build web applications, APIs, and interfaces that make AI and analytics accessible to business users.
• Apply statistical analysis, machine learning, predictive modeling, and analytical validation to structured and unstructured data.
• Partner with stakeholders to translate business problems into prototypes and iterate based on feedback.
• Design reliable, observable, responsible AI solutions with robust evaluation and user experience in mind.
• Navigate SSP and enterprise governance through design, security reviews, testing, documentation, deployment, monitoring, and ongoing support.

What you'll bring...

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
• Strong Python and SQL skills for data analysis and analytical solution development.
• Knowledge of statistics, machine learning, predictive analytics, and data visualization.
• Experience working with complex, multi-source datasets using sound data quality and governance practices.
• Experience developing dashboards and analytical products using Power BI, Tableau, or similar tools.
• Experience building applications, automation, or software solutions using modern programming practices.
• Familiarity with Git and version control.
• Strong problem-solving, stakeholder management, and communication skills.

At Walmart, 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. 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 Live Better U is a Walmart-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 :
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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...

806 Excellence Dr, Bentonville, AR 72716, 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.