Are you looking for a role where you have the opportunity to shape Amazon’s Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.

This role requires a hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business intelligence experience and an entrepreneurial mindset.

Key job responsibilities
- Support business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.

About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.