Amazon Sr Business Intelligence Engineer 

United States, Washington, Seattle 

817104126

• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.Work/Life Balance
Mentorship & Career Growth
Key job responsibilities• You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.
• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders
• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights
• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Learn new technology and techniques to meaningfully support product and process innovation

- 10+ 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 AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining