Senior Manager, Advanced Analytics

Walmart • Bentonville, AR

9h • $110,302 - $180,000 • Onsite

About The Position

The Senior Manager, Advanced Analytics leads advanced analytics work across multiple projects for a business area, category, or prototype. The role develops data models and complex algorithms, manages prototype development and implementation, and oversees testing and validation. It applies advanced analytics to business and technical problems, supports data-driven decisions, and provides strategic recommendations based on analysis.

The position partners with senior leaders, functional leadership, cross-functional teams, external business partners, and vendors to understand objectives, identify business issues, shape research plans, and deliver actionable recommendations. It also leads and develops a team, manages project risks, supports community outreach, and serves as a subject matter expert on market insights.

Requirements

• Bachelor’s degree or equivalent in Business, Accounting, Statistics, or a related field.
• At least 3 years of experience in data analytics or related experience; the employer will accept any amount of experience with the required skills.
• Experience using Python programming to create data validations.
• Experience with advanced data analysis techniques, including clustering, correlation analysis, feature engineering, and dimension reduction, for preparing data for demand forecast modeling.
• Experience with statistical modeling for order replenishment to optimize store-level orders and reduce waste and out-of-stocks while balancing cost-effective strategies.
• Experience developing SQL data pipelines for data preparation to support forecasting models.
• Advanced SQL experience for extracting insights and improving data-analysis and validation accuracy and reliability.
• Experience using Power BI and Python to create dashboards, visualizations, and data stories communicating business outcomes.
• Experience analyzing retail sales data to detect anomalies and patterns including seasonality, cannibalization, and price elasticity.
• Experience piloting and commissioning incremental upgrades for Product Enhancement Delivery and prioritizing and managing backlogs.
• Experience establishing and implementing governance structures for agile projects.
• Experience with requirements elicitation, gap analysis, stakeholder collaboration, data analysis, process flows, and concise reporting.

Responsibilities

• Evaluate the ongoing effectiveness of plans, programs, and initiatives; consult stakeholders; and apply suggestions to improve efficiency and cost effectiveness.
• Participate in and support community outreach events.
• Build and lead a team to execute business area or category objectives; coach team members, provide feedback, support career development conversations where applicable, and maintain team motivation and engagement.
• Mentor less experienced associates and managers.
• Consult with senior leadership and business partners to understand goals, identify business issues, and formulate ideas to address current and future challenges.
• Confirm functional research objectives and oversee tactical research plans.
• Manage the creation of actionable recommendations and present them to senior directors and directors to contribute to business results.
• Serve as a subject matter expert to the business on market insights.
• Own multiple projects end-to-end for a business area, category, or prototype and manage implementation risks.
• Develop data models and algorithms for multiple projects to drive business results and value; collaborate with project teams to implement modeling solutions.
• Manage development and implementation of prototypes and production-ready complex algorithms for multiple projects, including testing and validation.
• Collaborate with Advanced Analytics Experts to develop new data analysis techniques.
• Manage the development and application of advanced analytics to address business and technical problems and support data-driven decision-making.
• Make strategic recommendations to analytics leadership based on data analysis and support the team in developing data analysis strategies.
• Collaborate with functional leadership and cross-functional teams, including Categories, Customer Experience, and Merchandising, to develop consultative solutions.
• Interact and collaborate daily with external business partners and vendors.
• Use Python to create data validations.
• Apply clustering, correlation analysis, feature engineering, and dimension reduction to transform and prepare data for demand forecast modeling.
• Use statistical modeling for order replenishment to optimize store-level orders and balance cost-effective strategies that reduce waste and minimize out-of-stocks.
• Develop SQL data pipelines for data preparation supporting forecasting models and use advanced SQL to derive insights and support analysis and validation.
• Use Power BI and Python to create data stories, dashboards, and visualizations communicating cost savings, forecast accuracy improvements, and inventory management improvements.
• Analyze retail sales datasets to detect anomalies and identify patterns such as seasonality, cannibalization, and price elasticity.
• Pilot and commission incremental upgrades for Product Enhancement Delivery and prioritize and manage backlogs.
• Establish and implement governance structures for agile projects.
• Perform requirements elicitation, gap analysis, stakeholder collaboration, data analysis, process-flow creation, and concise reporting to support decision-making.

Benefits

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

What This Job Offers

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