Position Summary...As a Senior Data Analyst on the Leadership Assessment Team, you'll design and deliver the data and analytics solutions that power leadership assessment and talent decisions across Walmart. You'll work across the solution lifecycle-from understanding business needs and building reliable data foundations to developing analytics products and deploying solutions into production.
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, the team combines expertise in leadership science, data, technology, and responsible AI to create innovative solutions. This collaborative group includes assessment experts, data engineers, application developers, and AI specialists focused on enhancing organizational outcomes and associate experiences by improving talent identification and targeted leadership development throughout the leadership pipeline.
What you'll do...- Design and maintain scalable data pipelines, analytical datasets, models, metrics, and reusable frameworks across enterprise data sources.
- Use SQL, Python, and cloud platforms to transform complex data into reliable analytical solutions.
- Build dashboards, analytics products, lightweight applications, automation, and self-service tools that improve talent decisions and stakeholder experiences.
- Perform advanced analysis to identify meaningful patterns, trends, relationships, and opportunities.
- Partner with stakeholders to translate business needs into analytical solutions and iterate based on feedback.
- Integrate AI and GenAI capabilities to enhance products, workflows, and user experiences.
- Navigate SSP and enterprise governance requirements through design, validation, testing, documentation, deployment, and ongoing support.
- Communicate insights/recommendations through visualization and storytelling.
What you'll bring...
- Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.
- Strong SQL and Python skills for data analysis, transformation, automation, and application development.
- Experience designing data pipelines and integrating complex, multi-source datasets.
- Experience developing dashboards and analytical products using Tableau, Power BI, or similar visualization tools.
- Understanding of data modeling, data quality, and analytical best practices.
- Ability to translate complex data and ambiguous business questions into actionable insights and practical solutions.
- Strong written and verbal communication skills, including explaining technical concepts and analytical findings to technical and non-technical audiences.
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 :
- Stock
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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 America
Walmart 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.
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