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Amazon Analytics Manager AWS Engineering 
United States, Washington, Seattle 
347087422

15.01.2025
DESCRIPTION

As a Analytics Manager on this team, you will be responsible for building and owning the delivery of an analytical roadmap for an AWS services you support. You will generate insights that directly drive business growth and influence feature and product enhancements. You will get to work with datasets in one of the world's largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence product leadership. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. As you build your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilitiesA day in the life
Work/Life Balance
About the team
Utility Computing (UC)
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
About AWSInclusive Team CultureWork/Life BalanceMentorship & 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.


BASIC QUALIFICATIONS

- 8+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- 5+ years of SQL experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience managing, analyzing and communicating results to senior leadership