Amazon Business Intelligence Engineer Data Center Engineering Analytics 

United States, Georgia, Atlanta 

944488031

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
- Collaborate with engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into robust, scalable, and operable solutions that work well within the overall AWS data architecture, and lead to improved engineering decisions.
- Develop a deep understanding and awareness of operational data from the AWS fleet, and look around corners to recommend analytical solutions for improving engineering decision making and results.- Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the team
*Why AWS*
*Diverse Experiences*
Amazon 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 Balance*
*Inclusive Team Culture*
*Mentorship 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.

- Experience with data visualization using Tableau, Quicksight, or similar tools
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with forecasting and statistical analysis