Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer to shape Amazon's pricing and promotions strategy through data-driven insights. This role sits at the intersection of business intelligence, data science, and machine learning, working with planet-scale data to build advanced ML models for product similarity, pricing optimization, and promotion recommendations.
The position requires a self-starting leader who can thrive in ambiguity and possesses strong analytical abilities. You'll be responsible for developing automated analytics tools, delivering insights, and implementing anomaly detection systems to ensure Amazon maintains competitive pricing while preserving customer trust. The role combines technical expertise in data engineering and analysis with business acumen to drive strategic decision-making.
Working within the Pricing & Promotions Science organization, you'll leverage multi-modal data on billions of Amazon and competitor products to build sophisticated machine learning models. Key focus areas include product similarity analysis, substitutability modeling, error detection, price estimation, promotion optimization, and measuring both short and long-term business impact.
This is an excellent opportunity for someone who wants to make a direct impact on Amazon's pricing strategy while working with cutting-edge technologies and massive datasets. The role offers competitive compensation and benefits, with base pay ranging from $117,300 to $202,800 depending on location, plus equity and additional benefits.