Senior Manager, Advanced Analytics

Walmart • San Bruno, CA

1d • Onsite

About The Position

The Senior Manager, Advanced Analytics develops and implements data models, algorithms, and analytical approaches for business-area and category projects to drive business results and value. The role leads advanced analytics work addressing complex business and technical problems, supports data-driven decision-making, evaluates analysis techniques for prototype development, and turns findings into strategic recommendations for cross-functional leadership.

The position owns complex projects from start to finish, including the development of prototypes and production-ready algorithms and the testing and validation of solutions. It works with senior leaders, functional teams, external business partners, and vendors to understand business goals, address challenges, manage implementation risks, and deliver consultative solutions. The role contributes analytical findings and recommendations to strategic planning and helps develop data analysis strategies and anticipate future trends. This position does not supervise employees.

Requirements

• Master's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Management Information Systems, or a related field, and 2 years of experience in data analysis, data science, statistics, or a related field; OR bachelor's degree or equivalent in one of those fields and 4 years of experience in data analysis, data science, statistics, or a related field.
• Experience using SQL for analytics, including joins, CTEs, window functions, and query optimization.
• Experience using Python and R for statistical analysis, including data wrangling, modeling, and reproducible notebooks or scripts.
• Experience with statistical modeling, including regression, classification, unsupervised learning, and diagnostics.
• Experience with measurement and attribution methodologies, including incrementality, MMM, and MTA.
• Experience with A/B testing and experimental design, including randomization, power calculation, and guardrails.
• Experience creating data visualizations and analytics storytelling using Tableau, Looker, Power BI, and Python visualization tools.
• Experience with data engineering fundamentals, including ETL, data quality checks, and scheduling.
• Experience with metric definition and KPI governance.
• Experience translating business problems into analytical requirements, including written specifications, hypothesis formulation, and analysis plans.
• Experience creating stakeholder-facing experiment and measurement readouts, including reviewing results decks and preparing recommendations.
• The employer will accept any amount of experience with the required skills.

Responsibilities

• Develop data models and analytical approaches for projects within a business area or category to drive business results and value.
• Collaborate with project teams to implement modeling solutions and evaluate data analysis techniques for prototype development.
• Work with cross-functional partners on prototypes and algorithms.
• Lead the development and execution of advanced analytics addressing unique business and technical problems and supporting data-driven decision-making.
• Make strategic recommendations to cross-functional leadership based on analysis results.
• Collaborate across analytics functions to develop and implement data analysis strategies and anticipate future trends and analyses.
• Own complex projects end-to-end for a business area, category, or prototype, and manage implementation risks.
• Drive multiple business plans and projects by identifying customer and operational needs; communicating plans and priorities; removing performance barriers; providing resources; setting and measuring performance standards; adjusting performance; developing contingency plans; and supporting continuous learning and adaptability.
• Consult senior leadership and business partners to understand goals and objectives, identify business challenges, anticipate and mitigate issues, and define potential success criteria.
• Focus work on items with maximum business impact.
• Contribute to strategic planning with input and actionable recommendations based on advanced research and analytical findings.
• Help develop and implement prototypes and production-ready complex algorithms.
• Manage solution testing and validation.
• Partner with functional leadership and cross-functional teams to develop consultative solutions for complex projects.
• Collaborate with external business partners and vendors.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase plan, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting time.
• Short-term and long-term disability coverage.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior