Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer to help develop/build data solutions, generate automatic insights and leverage anomaly detection tools/technologies which will help to deliver the best prices to our customers. Data analysis is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions.

This position requires high judgment, excellent analytical abilities, a creative mind; it also offers broad exposure to various business, operational, financial, and technical teams across Amazon.


Key job responsibilities
- Identify opportunities and key criteria to drive analytical reporting, models and business strategy
- Conducting 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
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Building simple and effective infrastructure tools with scalability top of mind.
- Simplifying and automating reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Supporting business with time-critical tactical data analyses.
- Understanding a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.

About the team
The Pricing and Promotions Sciences strive to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science systems, and the facilitation of trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between