Senior Business Intelligence Engineer, P2 Science, Data, and Insights

- 7+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience managing, analyzing and communicating results to senior leadership
- Experience working directly with business stakeholders to translate between data and business needs
- Experience building measures and metrics, and developing reporting solutions
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience working as a BIE in a technology company
- Knowledge of data warehousing and data modeling

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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