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 managing Amazon's global inventory systems, which decide what, when, where, and how much to buy across millions of items worldwide. The position combines data engineering, analytics, and business intelligence to create automated auditing systems for inventory management.

The ideal candidate will develop analytical models and tools to automate SCOT systems auditing, working with large-scale data sets and creating sophisticated algorithms and dashboards. This role requires strong quantitative skills, expertise in data mining, and the ability to translate complex technical concepts into business insights. The position offers the opportunity to work on critical systems that directly impact Amazon's inventory investment and placement decisions worth billions of dollars.

The role offers competitive compensation ranging from $117,300 to $202,800 based on location, plus additional benefits including equity and comprehensive medical coverage. This is an excellent opportunity for experienced data professionals who want to make a significant impact on Amazon's global supply chain operations while working with cutting-edge technologies and large-scale systems.

Key responsibilities include building complex analytical models, creating automated audit systems, developing dashboards, and collaborating with cross-functional teams to drive continuous improvement in Amazon's inventory management systems. The role requires expertise in SQL, Python, AWS, and a strong background in data science and machine learning.