Amazon Manager Business Intelligence AWS Analytics Engineering 

United States, Washington, Seattle 

437807086

As a Manager of Business intelligence team in AWS Analytics Engineering, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. 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. You will lead and oversee business intelligence initiatives across multiple AWS products to provide accurate and timely business metrics that enable data-driven decision making across AWS. As you design your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Establish team business practices, roles and responsibilities, and professional development opportunities.- Understand the business and technical requirements, and make decisions that help make the products/programs smoother.
A day in the life
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.
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- Advanced degree in Business, Science, Technology or related disciplines
- 8+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience managing, analyzing and communicating results to senior leadership.
- Proven track record in implementing organizational change management strategies.
- Experience in creating analytics roadmap and making appropriate tradeoffs when needed.
- Experience in data manipulation through SQL, ETL, Python, Relational/Non relational database systems.
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- - Experience in working with GenAI tools for analytical use cases.
- - Experience in leading transformative initiatives
- - Understanding of statistical methods and machine learning model deployment.