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.