Description Amazon’s Account Integrity team within the Customer Trust and Partner Support organization is looking for a passionate, results-oriented Business Analyst to leverage data to deliver projects with huge strategic impact. This team designs and builds high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers. As a Business Analyst in the Account Integrity group, you will be responsible for analyzing and reporting large data sets in partnership with product managers, scientists, and engineers to ensure the team is prioritizing the right goals and opportunities to stop bad actors and protect customers. We are looking for someone who can: - Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space - Apply your expertise in quantitative analysis, data visualization and data-mining to design alarming system, derive actionable insights and guide product strategy for stakeholders and leadership - Develop internal reporting/visualization tools for self-serve - Provide analytical support for new feature launches - Effectively communicate complex analytical concepts to non-technical stakeholders to drive decision making Key job responsibilities - Deep diving business trends, analyzing anomalies and guiding business decision-making through data - Building dashboard/scalable metric tracking mechanisms - Working closely with Business and Operations teams to find ways to mitigate bad actor attacks - Ensuring that the team works backwards from the customer problem using data About the team The Account Integrity’s mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business. Basic Qualifications - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business analyst, data analyst or similar role experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications - - Strong communication, writing and data presentation skills Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.