Business Intelligence Engineer, SCOT - Automated Inventory Management

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 analytical models and tools to automate the auditing of SCOT systems, which manage Amazon's global inventory worth billions of dollars. The position combines data engineering, analytics, and business intelligence to optimize Amazon's inventory management systems.

The role requires strong quantitative skills and the ability to work on ambiguous problems from concept to execution. You'll be responsible for building complex analyses, creating automated audits, and developing dashboards to monitor millions of products across global marketplaces. The position offers competitive compensation ranging from $89,600 to $185,000 based on location, plus additional benefits including equity and sign-on bonuses.

As a Business Intelligence Engineer, you'll collaborate with software development teams, business owners, and product managers to drive improvements in Amazon's inventory management systems. You'll work with large-scale datasets, build ETL pipelines, and create self-service analytics tools. The role requires expertise in SQL, Python, and data visualization tools, with preferred experience in AWS services.

This is an excellent opportunity for someone passionate about data analytics and automation to make a significant impact on Amazon's global supply chain operations. You'll be part of a team that's constantly innovating and improving the efficiency of inventory investment and placement decisions, directly affecting Amazon's business success and customer satisfaction.