Expoint - all jobs in one place

The point where experts and best companies meet

Limitless High-tech career opportunities - Expoint

Amazon Manager BIE JWO Tech 
United States, Washington, Seattle 
467207357

16.09.2024
DESCRIPTION

As a BIE Manager, you will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility/high impact areas in the organization.Key job responsibilitiesArchitect, design, implement, and support a platform providing secured access to large datasets.Model data and metadata to support ad-hoc and pre-built reporting.Drive the design, development and implementation of our analytics to provide stakeholders with structured access to data.Champion proper adoption of self-service analytic tools and reporting environments.
About the team
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.Why AWS
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.

BASIC QUALIFICATIONS

- 9+ years of business intelligence and analytics experience
- 6+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software


PREFERRED QUALIFICATIONS

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience