The Supply Chain Optimization Technologies (SCOT) organization at Amazon is seeking a Business Intelligence Engineer to join their Automated Inventory Management team. This role is crucial in developing and maintaining Amazon's global inventory management systems that determine what, when, where, and how much to buy across millions of items worldwide. The position combines advanced data analytics, system optimization, and business intelligence to drive Amazon's inventory efficiency.
The ideal candidate will work on developing analytical models and tools to automate system auditing, creating algorithms, metric bridges, and dashboards. They will need strong quantitative skills in data mining and modeling, plus the ability to work on ambiguous problems from concept to execution. The role requires collaboration with software development teams, business owners, and product managers, while presenting findings to senior leadership.
Key responsibilities include performing complex analysis of automated inventory systems, building large-scale audits across global marketplaces, and creating automated solutions for defect identification. The position offers competitive compensation ranging from $117,300 to $202,800 based on location, plus equity and comprehensive benefits.
This role represents an opportunity to impact Amazon's global supply chain operations, working with cutting-edge technologies and massive datasets. The successful candidate will contribute to continuous improvement initiatives while solving complex inventory management challenges at scale. They will be part of a team that's essential to Amazon's operational efficiency and customer satisfaction.