Business Intelligence Engineer, P2 Science, Data, and Insights

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Business Intelligence Engineer to shape Amazon's pricing and promotions strategies through data-driven insights. This role sits at the intersection of business intelligence and pricing optimization, where you'll develop automated analytics tools and anomaly detection systems to ensure Amazon delivers the best prices to customers.

The position requires a hands-on engineer who embodies Amazon's principle of "Learn and Be Curious" and can effectively invest in, simplify, and deliver solutions for customers. You'll be working with planet-scale multi-modal data covering billions of Amazon and competitor products, building advanced machine learning models for various aspects of pricing and promotion optimization.

Key responsibilities include developing analytical reporting and business strategy, conducting deep-dive analyses, leveraging LLMs for insights generation, and continuously improving data infrastructure. You'll work on building models for product similarity, substitutability, error detection, price estimation, and promotion recommendation systems.

The role offers an opportunity to directly impact Amazon's pricing decisions and strategy, working with large-scale, complex datasets in a dynamic e-commerce environment. You'll be part of a team that preserves customer trust by ensuring Amazon's prices remain competitive and error-free, while also driving innovation in pricing and promotion strategies.

This position combines technical expertise with business acumen, requiring skills in data analysis, visualization, and ETL pipeline development. The ideal candidate will have experience with various database systems, statistical analysis packages, and data visualization tools, along with the ability to translate complex analyses into actionable business recommendations.

Working at Amazon, you'll benefit from a competitive salary range of $76,400 to $127,600 per year, plus equity and comprehensive benefits. The role is based in Vancouver, Canada, offering the opportunity to work with one of the world's leading technology companies in a vibrant tech hub.