Business Intel Engineer, SCOT AIM Planning

Amazon's Supply Chain Optimization Technologies (SCOT) team is seeking a talented Business Intelligence Engineer to join their Automated Inventory Management (AIM) Planning team. This role represents a unique opportunity to work at the intersection of data science, business intelligence, and supply chain optimization at one of the world's largest e-commerce companies.

The position involves working with complex data systems to drive crucial inventory management decisions that impact Amazon's global retail operations. You'll be part of a dynamic team that includes Scientists, Engineers, and Product Managers, working together to build scalable solutions that optimize inventory efficiency across Amazon's vast network.

As a Business Intelligence Engineer, you'll be responsible for analyzing billions of data points to generate actionable insights that influence executive decision-making. The role requires expertise in data modeling, ETL processes, and advanced analytics tools. You'll work with modern technologies including AWS Redshift, Python, and various visualization tools to transform raw data into meaningful business intelligence.

Key aspects of the role include owning retail inventory guidance planning cycles, developing improvements to internal worldwide customer portals, and partnering with cross-functional teams to build centralized tools for defect detection and repair. You'll have the opportunity to influence Amazon's inventory management strategy while working with cutting-edge technology and massive datasets.

The compensation package is competitive, ranging from $89,600 to $185,000 based on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. This role offers excellent career growth potential within Amazon's technical organization and the opportunity to make a significant impact on global retail operations.

The ideal candidate will bring 3+ years of data analysis experience, strong SQL skills, and expertise in statistical analysis tools. You'll need to be comfortable working with large-scale datasets and have the ability to translate complex analytical findings into actionable business recommendations. If you're passionate about using data to solve complex problems and want to work at the forefront of retail technology, this role offers an exciting opportunity to make a real impact.