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 managing Amazon's global inventory systems that handle millions of items across hundreds of product lines. The position focuses on developing analytical models and tools to automate system auditing, requiring strong quantitative data mining and modeling skills.
The ideal candidate will work on creating algorithms, metric bridges, dashboards, and workflow systems to optimize inventory management. They'll collaborate with software development teams, business owners, and product managers to drive improvements in the supply chain planning systems. The role involves complex analysis of automated inventory management systems, building large-scale audits, and creating automated solutions for defect identification.
This is an opportunity to work with cutting-edge technology in automated large-scale business and supply chain optimization. The position offers exposure to Amazon's sophisticated inventory management systems and the chance to impact billions of dollars worth of inventory decisions worldwide. The role requires someone who can handle ambiguous problems and communicate effectively with senior stakeholders.
Key focus areas include data warehousing, architecture, performant self-service toolsets, and analytics. The successful candidate will contribute to raising the bar in these areas while solving organizational problems at scale. This is an excellent opportunity for someone passionate about data analytics and automation who wants to make a significant impact on Amazon's global supply chain operations.