Description Do you want to develop analytics that drive key decisions for the world's biggest e-commerce business? Do you enjoy autonomy and are able to partner with business to drive impact? Did you answer yes to the above questions? Then this is the job for you! At Automated Profitability Management (APM), our vision is to automate and improve Amazon Profitability through the innovative application of Machine Learning and Software Engineering. Traditionally, this involved an Amazon business person picking up the phone, calling up Vendors to discuss and improve the terms of doing business with Amazon. Each of these negotiation decisions has a direct impact on Amazon’s profitability. Now imagine doing this across tens of thousands of Selling Partners and tens of millions of products, across tens of different countries worldwide, and at a double-digit growth rate every year. We are turning the art of Retail profitability management into a science. At APM, we own products that are disrupting and fundamentally change the way e-commerce costs and Vendor terms are managed. An ideal candidate will partner with Product Managers and Data Engineers to 1.) understand the business context, 2.) develop a deep understanding of the data, and, 3.) effectively communicate actionable insights with different levels of leadership. Key job responsibilities • Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions. • Work with Product Managers in understanding the business requirements and implementing solutions to support product plans. • Conduct ad hoc data analysis and data quality investigations. • Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools. • Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data. • Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis • Analysis of historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations • Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models • Understanding of Amazon’s data resources, which to use, how, and when A day in the life - You will work with Product managers, Data Engineers and SDEs to develop a deep understanding of the business and data. - You will effectively communicate actionable insights with different levels of leadership. - You will maintain a high operational bar for data, job and reports. About the team We take pride in being a diverse team, and provide opportunity to demonstrate unique strength that each of us bring to the table. We are a high performing team and give importance to work-life-balance and career growth. We collaborate with several key teams across Retail world (SCOT, EconTech, etc.) on a day-to-day basis. Our customers are retail vendors, vendor managers and retail page customers. Basic Qualifications - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Knowledge of SQL and data warehousing concepts - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $89,600/year in our lowest geographic market up to $185,000/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.