Business Intelligence Engineer, P2 Science, Data, and Insights

Join Amazon's Pricing & Promotions Science, Data, and Insights team as a Business Intelligence Engineer, where you'll be at the forefront of shaping how Amazon prices and promotes products globally. This role combines deep technical expertise with business impact, working with hundreds of PBs of data to drive strategic decisions that influence billions in revenue.

As a BIE, you'll build automated analytics tools and sophisticated anomaly detection systems that power intelligent pricing and promotions decisions affecting millions of customers worldwide. You'll work with advanced analytics technologies, including Large Language Models (LLMs), to generate business-impacting insights and pioneer new methodologies in pricing and promotions analytics.

The P2 Science, Data and Insights team manages mission-critical data that influences major business decisions across Amazon's global marketplaces. We're implementing a three-year transformation strategy to reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights.

Your role will involve developing advanced analytical metrics, creating scalable reporting systems, and presenting compelling insights to senior leadership. You'll work with cutting-edge technologies, collaborate across teams, and have the opportunity to mentor colleagues while staying at the forefront of BI trends.

This position offers direct impact on Amazon's core business decisions, the chance to innovate in a fast-paced environment, and the opportunity to shape the future of retail pricing and promotions. You'll be part of a diverse team that values both analytical rigor and business impact, working to make Amazon the most customer-centric company through intelligent pricing solutions.

The role combines technical expertise in data engineering, analytics, and visualization with strategic business thinking, making it ideal for someone who wants to drive meaningful impact at scale while working with advanced technologies and complex datasets.