Amazon Senior Business Intelligence Engineer GCID 

United States, Colorado, Denver 

981215270

Key job responsibilities
Collect, analyze, and interpret large datasets from diverse sources to identify trends and patternsProactively identify opportunities to improve data quality, performance, and usability of existing dashboards and reports.Work on data pipelines, data models and leverage the AWS Infrastructure tech stack to build tracking metrics and related visualizationsProvide technical guidance and support to stakeholders in leveraging dashboards and data insights to enhance decision-making processesA day in the life
You will work closely with Data Center Supply, Optical Deployment, Finance, Legal, and Fiber Business Development to manage spend related to AWS customer-facing network activities, ensuring that network projects timelines and costs are closely tracked, easily understood, and managed year over year. You will be a trusted resource for Global Connectivity Infrastructure Development and will be a key member of a team of innovative program managers to extend impact across the organization. You will be empowered to think big, influence others, and exercise ownership over your solutions.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 BalanceMentorship 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.

- 10+ years of professional or military experience
- Experience with SQL
- 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
- Experience with data visualization using Tableau, Quicksight, or similar tools