Amazon Sr Business Intelligence Engineer AWS DC Bridge 

United States, Washington, Bellevue 

962037574

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
- Build and own data artifacts including: data models, ETLs, visualizations, ML models, and simulations on large multidimensional datasets to uncover trends, patterns, and opportunities
- Perform analysis of deep dives and models to provide data for the decision making process, including written and verbal presentation of results and recommendations- Work with software development and business teams to design requirements for appropriate capture and storage of key data points needed in metrics and modeling
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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