Sr. Business Intelligence Engineer, GOX - Global Operational Excellence

Amazon's GOX (Global Operational Excellence) team is seeking a Senior Business Intelligence Engineer to drive operational excellence through data-driven solutions. This role sits at the intersection of big data, analytics, and operational improvement, focusing on building scalable data models that power global operational excellence initiatives.

The position offers an opportunity to work with cutting-edge technologies and directly impact Amazon's worldwide operations. You'll be part of a dynamic team alongside Applied Scientists, Software Engineers, and Data Engineers, all working to improve customer experience through flawless fulfillment. The role involves sophisticated data modeling, ETL development, and analytics work using AWS technologies and modern programming languages.

As a Sr. BIE, you'll be responsible for designing and implementing robust data infrastructure solutions that support Amazon's massive global fulfillment network. You'll work on projects that directly influence successful on-time delivery, speed optimization, and cost efficiency. The role requires expertise in SQL, data warehousing, and visualization tools, along with strong programming skills in languages like Python or Java.

The GOX team is recognized for creating innovative tools and systems that drive operational excellence across Amazon's global network. You'll be part of EU STEP organization, which integrates Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting and execution. This role offers the chance to work on large-scale problems that directly impact millions of customer deliveries while leveraging AI & Generative AI technology.

This is an excellent opportunity for a data professional who wants to work at the forefront of operational excellence in one of the world's largest e-commerce companies. You'll have the chance to influence how Amazon delivers billions of packages while working with the latest technologies in data engineering and analytics.