Amazon Business Intelligence Engineer Data Center Engineering 

United States, Washington, Seattle 

221515240

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
• Lead the design, implementation, and delivery of BI solutions in complex, ambiguous or poorly defined problem spaces.
• Proactively work to improve the consistency and integration between the team’s BI solutions and any related systems or artifacts (owned by other teams).
• Influence the team’s technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving BI architecture deficiencies that limit the innovation.
• Able to communicate your ideas effectively to achieve the right outcome for the team and customer and seek diverse perspectives, listen to feedback, and are willing to change direction if it creates a better outcome.
• Lead design reviews for BI solutions or analyses for the team and actively participate in reviews for partner teams.
• Actively participate in the hiring process as well as mentor others - improving their skills, their knowledge of your BI solutions, and their ability to get things done.
• Influence technical decisions made by partner teams via collaborative software effort or by driving BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
About the team
Why AWSDiverse 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.
Work/Life BalanceInclusive Team CultureMentorship and 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.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling