Senior Manager, Advanced Analytics

Walmart•Bentonville, AR

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, oversees prototypes and production-ready solutions, and manages testing and validation. It applies advanced analytics to business and technical problems, supports data-driven decisions, and makes strategic recommendations based on analysis. The role partners with senior leaders, cross-functional teams, external business partners, and vendors to understand business goals, address challenges, and deliver actionable recommendations and market insights. It also builds and leads a team, develops team members, and maintains engagement. The position is based at 811 Excellence Dr, Bentonville, AR 72716.

Requirements

Bachelor’s degree or equivalent in Business, Accounting, Statistics, or a related field.
Experience with Python programming to create data validations.
Experience with advanced data analysis techniques, including clustering, correlation analysis, feature engineering, and dimension reduction, to prepare data for demand forecast modeling.
Experience with statistical modeling for order replenishment to optimize store-level orders and balance cost-effective strategies that reduce waste and minimize out-of-stocks.
Experience developing SQL data pipelines for data preparation to support forecasting models.
Advanced SQL skills for analyzing client data and improving data analysis and validation.
Experience using Power BI and Python to create data stories, dashboards, and visualizations communicating cost savings, forecast accuracy, and inventory management improvements.
Experience analyzing retail sales datasets and identifying anomalies and patterns such as seasonality, cannibalization, and price elasticity.
Experience piloting and commissioning incremental upgrades for Product Enhancement Delivery, 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.
The posting states a minimum of 3 years of experience in data analytics or related experience, but also states that the employer will accept any amount of experience with the required skills.

Responsibilities

Evaluate the ongoing effectiveness of plans, programs, and initiatives; consult with stakeholders; apply suggestions to improve efficiency and cost effectiveness; and support community outreach events.
Build and lead a team to execute business area or category objectives, coach team members, provide feedback, conduct performance and career development conversations when applicable, and maintain team motivation and engagement.
Mentor less experienced associates and managers.
Consult with senior leadership and business partners to understand goals and functional objectives, identify business issues, formulate mitigation ideas, confirm research objectives, and oversee tactical research plans.
Create and present actionable recommendations to senior directors and directors, and serve as a subject matter expert on market insights.
Own multiple projects end-to-end and manage risks associated with implementation.
Develop data models and collaborate with project teams to implement modeling solutions.
Manage development and implementation of prototypes and production-ready complex algorithms, testing and validation, and collaboration on new data analysis techniques.
Manage 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 development of data analysis strategies.
Collaborate with functional leadership and cross-functional teams, including Categories, Customer Experience, and Merchandising, on consultative solutions.
Interact and collaborate daily with external business partners and vendors.

Benefits

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 leave, and voting leave.
Short-term and long-term disability.
Education assistance, including company-paid college degrees.
Company discounts.
Military service pay.
Adoption expense reimbursement.
Performance-based incentive awards, including annual or quarterly performance incentives.