Senior, Data Analyst - Data Products & Analytics
About The Position
As a Senior Data Analyst on Walmart’s Leadership Assessment Team, you will design and deliver data and analytics solutions that support leadership assessment and talent decisions across Walmart. You will contribute across the solution lifecycle, from understanding business needs and building reliable data foundations to developing analytics products and deploying solutions into production. 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. Part of the Global Talent and Learning Center of Excellence, the team brings together expertise in leadership science, data, technology, and responsible AI. Its collaborative members include assessment experts, data engineers, application developers, and AI specialists who work to improve organizational outcomes and associate experiences through better talent identification and targeted leadership development.
Requirements
- 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 the ability to explain technical concepts and analytical findings to technical and non-technical audiences.
- Minimum qualification option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 2 years of experience in data analysis, data science, statistics, or a related field.
- Minimum qualification option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
- Minimum qualification option 3: 4 years of experience in data analysis, data science, statistics, or a related field.
Nice To Haves
- Data science, data analysis, statistics, or related field experience.
- Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology, or a related field.
- Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
- Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages, such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.
Responsibilities
- 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 and recommendations through visualization and storytelling.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that may be used for vacation, sick leave, holidays, or other purposes
- Live Better U education benefit program, with tuition, books, and fees paid by Walmart for eligible programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
