Amazon's Global Supply Chain Optimization Technology (SCOT) organization is seeking a Senior Business Intelligence Engineer for their Automated Inventory Management (AIM) team. This role sits at the intersection of data science, business intelligence, and supply chain optimization, focusing on improving Amazon's worldwide inventory management systems.
The position offers an exciting opportunity to work on complex problems that directly impact Amazon's global supply chain efficiency. You'll be part of a team that helps executives make impactful business decisions through data-driven insights and automated solutions. The role involves working with massive datasets (multi-TB) using advanced SQL and Python programming to optimize inventory management across multiple international markets including Brazil, Mexico, and Canada.
As a Senior Business Intelligence Engineer, you'll be responsible for designing end-to-end reporting systems using BI tools like Tableau, developing predictive analytics for demand forecasting, and building sophisticated data models for inventory optimization. You'll collaborate with Product Managers, Data Engineers, and Software Engineers to transform billions of data points into actionable insights using AWS Redshift.
The ideal candidate should have a strong background in data science and statistics, with at least 5 years of SQL experience and a Master's degree in a quantitative field. You'll need expertise in experimental design, statistical analysis, and machine learning, combined with the ability to communicate complex findings to senior leadership effectively.
This role offers competitive compensation ranging from $117,300 to $202,800 based on location and experience, plus additional benefits including medical coverage and 401k. Working from Amazon's Bellevue office, you'll be part of a dynamic team that's revolutionizing how Amazon manages its global supply chain and delivers products to millions of customers worldwide.