Business Intelligence Engineer, Programming and Audience Discovery

Prime Video, Amazon's premier entertainment platform, is seeking a Business Intelligence Engineer to join their Global Programming and Insights BI team. This role offers an exciting opportunity to shape the future of entertainment by leveraging one of the world's largest data warehouses to drive customer insights and business decisions.

As a Business Intelligence Engineer, you'll be at the forefront of analyzing customer behavior and content engagement across the Prime Video Marketplace. You'll work with complex datasets to generate actionable insights that directly influence content programming, selection optimization, and product development strategies. The role combines technical expertise in data analysis with business acumen to support senior leadership decision-making.

The position sits within the PAD BI team, which partners closely with Global Programming Strategy and Global Consumer Insights. You'll be responsible for developing infrastructure and analytics solutions that make complex data accessible and actionable. Success in this role means creating scalable, efficient data processes and visualization tools that enable stakeholders to make data-driven decisions.

The ideal candidate will be a self-starter comfortable with ambiguity and large datasets, possessing strong SQL skills and experience with data visualization tools. You'll have the opportunity to work with cutting-edge technologies and collaborate with remarkable people in a fast-paced, entrepreneurial environment. The role offers competitive compensation, including equity opportunities, and comprehensive benefits.

This position offers exposure to one of the largest entertainment platforms globally, working with data from popular shows like The Lord of the Rings: The Rings of Power, Reacher, and The Boys. You'll be part of a team that influences how millions of customers experience entertainment, making this an exceptional opportunity for someone passionate about data and its impact on user experience.