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 using data, analytics, and insights. This role involves developing automated analytics, insights, and anomaly detection tools that will optimize pricing experiences for customers. The position requires a hands-on engineer who embodies Amazon's learning culture and can deliver impactful solutions.

The role sits within the Pricing & Promotions Science organization, which leverages massive-scale data across billions of Amazon and competitor products. The team builds advanced machine learning models for various purposes including product similarity, price estimation, promotion optimization, and impact measurement. The work directly influences Amazon's pricing strategy while maintaining customer trust through competitive and accurate pricing.

As a Business Intelligence Engineer, you'll work with large-scale datasets, develop analytical models, and deliver insights that drive strategic decisions. You'll use tools like SQL, Python, and various BI platforms to analyze data and create automated reporting solutions. The role combines technical expertise with business acumen, requiring both strong analytical capabilities and the ability to communicate findings effectively to senior leadership.

The position offers competitive compensation, including a base salary range of $76,400-$127,600 per year, plus equity and benefits. This is an excellent opportunity for someone passionate about data analytics who wants to make a significant impact on Amazon's pricing strategies while working with cutting-edge technologies and massive datasets.