What you'll doLooking 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 ProgramsEngage 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 ProcessLeverage 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 TopicsSupport 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 ModelsWork 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, Engineering on Fees EngineSupport business leads and product management teams by integrating data signals into the incentives engine to support new incentive launches and enhance the incentives management process.Liaise with Business/Product teams to align on tech roadmap to enable scale, flexibility, and effectiveness in the management of our fee incentives spend.
