Position Summary...

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 interests. The Manager of Seller Fees & Incentives Data and Analytics will drive 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 unstructured set up.
• You're stimulated by challenges and are ready to engage at Fortune 1 scale.

• 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 fees data.
  • Build and pressure testing Incrementality models to assess fees incentives ROI.
  • Leverage incentives data to create data lake of fees 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, generate 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 w/ Business Leads, Seller Account Managers, and Program Managers to understand business needs and support design of fee-driven incentive programs aimed at driving target seller behavior and deliver business results.
  • Support x-functional partners to build business case (including financial model), 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 Data Science Team on Recommendation Engines and Predictive Models
  • Work w/ Data Science team to build advanced analytics recommendations engines and predictive models required to enable incentives spend 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 Engine
  • Support Business Leads and Product Management team with integration of data signals into incentives engine to support new incentive launches and enhance incentives management process.
  • Liaise w/ Business/Product teams to align on tech roadmap to enable scale, flexibility, and effectiveness in management of our fees incentives spend.

• Bachelor's degree in Statistics, Computer Science, Business, Economics, Finance, or related quantitative field.
• 2 years of experience in data analytics or related field role (e.g., advances analytics, data science, management consulting, investment banking, strategy and operations, or similar role).
• Advanced SQL, Python/R, Google Big Query, and Google Cloud Platform.
• Experience with statistical methods and advanced modelling techniques.
• Experience working with and manipulating large data sets and writing basic SQL scripts.
• Experience working cross-functionally.

• MBA or master's degree in Statistics, Computer Science, Business, Economics, Finance, or related quantitative field.
• 4 years of experience in data analytics or related field role (e.g., management consulting, investment banking, strategy and operations, advances analytics, data science or similar role)
• Experience manipulating large data sets, writing custom SQL/Python/R scripts, working w/ Google Big Query, and Google Cloud Platform.
• Experience working with modern data visualization tools such as Looker and Tableau and communicating findings to an executive audience.
• Experience in translating business requirements into innovative data solutions that drive growth and leveraging data to inform business strategy and process design.
• Experience building and executing strategic business processes within a large organization including working with technology partners to deliver automated information solutions.
• Strong exploratory data analysis skills and ability to make analytical, data driven recommendations based on insights from data.