Amazon Business Intelligence Engineer AMER Data Center Capacity Delivery 

United States, Washington, Seattle 

999580251

You’ll join a diverse team of project managers, construction managers, controls engineers, commissioning engineers, 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
* Design, implement and support an analytical data infrastructure
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
* Work closely with business partners and recruiting to support ongoing efforts
* Build automated data solutions in QuickSight
* Deep dive data to understand and resolve discrepancies
* Communicate actions/recommendations to customers/stakeholders in both written and verbal formats
* Create reports highlighting key insights and trends
*Create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processes
* Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights
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.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.

- 4+ years of experience with data visualization tools (e.g., Tableau, QuickSight, or equivalent)
- · 4+ years of experience developing complex SQL queries for data extraction from databases and data warehouses
- · 4+ years of experience in data modeling, data warehouse architecture, and ETL pipeline development
- · 4+ years of experience managing and analyzing large-scale, complex datasets in enterprise data warehouse environments
- · 4+ years of experience analyzing financial data, developing cost reports, and defining business metrics