Business Analyst, Sales Abuse Prevention

Overview

- 3+ years of tax, finance or a related analytical field experience - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL
Within Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally. We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results. Key job responsibilities We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.