Manager, Insights Consulting, Seller Fees & Incentives Data and Analytics

Company Description

About Walmart:

Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you're proud of.

Job Description

What you'll do...

Looking for a new role that will be both challenging and rewarding, then continue reading to see if this position grabs your interest. The Manager of Seller Fees & Incentives Data and Analytics will drive the data and analytics function for the pricing lever for our business – seller fees and incentives.

You’ll sweep us off our feet if:

• You’re a strategic and structured problem-solver at heart.
• You’re organized, detail-oriented, disciplined, and can manage multiple projects simultaneously.
• You have strong communication skills and can translate complex data concepts and analyses into simple and easy to understand language.
• You have strong exploratory data analysis skills, ability to make analytical, data driven recommendations and a track record of taking ownership.
• You have proven experience in translating business requirements into innovative data solutions that drive growth and leveraging data to inform business strategy and process design.
• You are curious and seek to understand business problems beyond the task or data.
• You like building lasting partnerships, working cross-functionally, and tackling problems across a range of analytical topics.
• You accept and thrive in constantly evolving, fast-paced, multi-dimensional environments.
• You are curious, proactive, and comfortable working in an unstructured setup.
• You’re stimulated by challenges and are ready to engage at a Fortune 1 scale.

You’ll make an impact by:

• Building Solid Fees & Incentives Data Foundation for US Marketplace.
  • Build capabilities to store historical WMT seller fees and develop tools to scrape and store competitive fee data.
  • Build and pressure testing Incremental models to assess fee incentives ROI.
  • Leverage incentives data to create a data lake of fee incentives rules spend data, ROI, and KPIs.
• Translating Data into Insights, Strategies, and Actions for X-functional Teams.
  • Conduct exploratory data analyses to generate insights and identify patterns in fees and incentives data.
  • Develop and implement causal and statistical analyses and models to determine drivers of incentives spend and ROI, predict outcomes, and enerate and communicate insights to inform/influence business decisions. 
  • Distill large, complex data sources into recommendations for x-functional teams and leadership to understand and navigate easily.
  • Build dashboards to visualize incentives data and insights.
• Supporting Business Case Creation for Incentive Programs
  • Engage with/ Business Leads, Seller Account Managers, and Program Managers to understand business needs and support the design of fee-driven incentive programs aimed at driving target seller behavior and delivering business results.
  • Support x-functional partners to build business cases (including financial model), and define specific & trackable KPIs.
• Building Data Tools to Support Incentives Management Process
  • Leverage world-class incentives data, models, and feedback tools to help build the WMT incentives experience for internal teams and sellers.
  • Support business teams by building centralized methodologies and data tools to streamline data pulling required for business case submission and incentive approval process.
• Performing SWAT-team Analysis for Fees and Incentives Topics
  • Support Seller Fees and Incentives team with ad hoc fees and incentives analyses to inform strategic decisions and optimize incentives spend.
• Partnering with the Data Science Team on Recommendation Engines and Predictive Models
  • Work with the Data Science team to build advanced analytics recommendation engines and predictive models required to enable incentive spending scaling for high ROI programs.
  • Pressure test logic behind models and validate model outputs to ensure recommendations are grounded in reality.
• Collaborating with Product, Enginee