Java Programming, Python Programming, SQL, ETL/ELT technologies, Analytical Techniques, Video coding and processing
Amazon Web Services Product Business Intelligence team is looking for a Manager to lead the team responsible for building and maintaining end to end analytics solutions that drive business decisions. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making of 135+ AWS Products.
Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI and DE is critical to our success. To help build this growing team, you would be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on highly respected business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history!
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Key job responsibilities
A day in the life
The ideal candidate will have a track record of building teams that span full spectrum of business intelligence and data engineering competencies. You will be a technical leader in our team, and own the technical architecture of service related data sets. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen.
Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, an ability to work effectively with cross-functional teams, and be able to lead a team to innovate and think big, while diving deep to meet our bar for quality and accuracy.
About the team
We are part of AWS Product BI team. This team supports the business intelligence needs for Compute, Storage, Networking, Automation & Messaging, Management Tools and Developer Tools product families. We own the data, metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports, WBRs, Analyses/Narratives and Datasets. We innovate on behalf of our end-users to produce relevant Metrics, Automations and Tools to make Data and Insights actionable.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Berlin, Germany
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv-Yafo, Israel
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Gda?sk, Poland
2-4 year
Bay Area, CA, USA
2-4 year
Cupertino, CA, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
United States
2-4 year
Arlington, VA, USA
2-4 year
Bellevue, WA, USA
4-6 year
Berlin, MD, USA
2-4 year
Bellevue, WA, USA
2-4 year
California, USA
2-4 year
Charlotte, NC, U.S.
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Denver, CO, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Herndon, VA, USA
2-4 year
Irvine, CA, USA
2-4 year
New Jersey, USA
2-4 year
Pasadena, CA, U.S.
2-4 year
Pasadena, CA, USA
2-4 year
Portland, OR, USA
2-4 year
San Francisco Bay Area, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Virginia Beach, VA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Cape Town, South Africa
2-4 year
London, UK
2-4 year
United States
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
4-6 year
Dallas, TX, USA
2-4 year
London, UK
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
United States
2-4 year
Cupertino, CA, USA
2-4 year
Austin, TX, USA
4-6 year
Vancouver, BC, Canada
10-12 year
Toronto, ON, Canada
8-10 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Santa Clara, CA, USA
6-8 year
New York, NY, USA
4-6 year
New Jersey Turnpike, Kearny, NJ, USA
4-6 year
Arlington, VA, USA; Atlanta, GA, USA; Austin, TX, USA; Ballston, NY, USA; Boston, MA, USA; Chicago, IL, USA; Cupertino, CA, USA; Dallas, TX, USA; Denver, CO, USA; Detroit, MI, USA; East Palo Alto, CA, USA; Herndon, VA, USA; Houston, TX, USA; Irvine, CA, USA; Minneapolis, MN, USA; New York, NY, USA; Pittsburgh, PA, USA; Portland, OR, USA; San Diego, CA, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Tempe, AZ, USA; Washington D.C., DC, USA
2-4 year
Arlington, VA, USA; Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Chicago, IL, USA; Cupertino, CA, USA; Dallas, TX, USA; Detroit, MI, USA; East Palo Alto, CA, USA; Herndon, VA, USA; Houston, TX, USA; Irvine, CA, USA; Minneapolis, MN, USA; Nashville, TN, USA; New York, NY, USA; Pittsburgh, PA, USA; Portland, OR, USA; San Diego, CA, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Tempe, AZ, USA; Washington D.C., DC, USA
2-4 year
Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Chicago, IL, USA; Herndon, VA, USA; Minneapolis, MN, USA; New York, NY, USA; San Diego, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
4-6 year
Austin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Detroit, MI, USA; Houston, TX, USA; Minneapolis, MN, USA; Nashville, TN, USA; Phoenix, AZ, USA; Salt Lake City, UT, USA; Tempe, AZ, USA
2-4 year
Chicago, IL, USA; Los Angeles, CA, USA; Miami, FL, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA
4-6 year
Arlington, TX, USA; Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Chicago, IL, USA; Dallas, TX, USA; Nashville, TN, USA; New York, NY, USA; Phoenix, AZ, USA; San Francisco, CA, USA; Seattle, WA, USA
2-4 year
Chicago, IL, USA; Mono Hot Springs, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Clara, CA, USA; Seattle, WA, USA
4-6 year
Arlington, VA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Clara, CA, USA; Seattle, WA, USA; Washington D. C., DC, USA
4-6 year
Arlington, VA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Clara, CA, USA; Seattle, WA, USA; Washington D.,C., DC, USA
4-6 year
Arlington, VA, USA; Dallas, TX, USA; Herndon, VA, USA; Houston, TX, USA; Seattle, WA, USA
6-8 year
Arlington, VA, USA; Atlanta, GA, USA; Austin, TX, USA; Houston, TX, USA; Seattle, WA, USA
2-4 year
Bellevue, WA, USA
2-4 year
Bellevue, WA, USA; East Palo Alto, CA, USA; Pasadena, CA, USA; Santa Clara, CA, USA; Seattle, WA, USA
2-4 year
Austin, TX, USA; Irvine, CA, USA; Nashville, TN, USA; New York, NY, USA; Seattle, WA, USA
6-8 year
Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Santa Clara, CA, USA; Seattle, WA, USA
4-6 year
Arlington, VA, USA; Atlanta, GA, USA; Boston, MA, USA; Dallas, TX, USA
2-4 year
Austin, TX, USA; Irvine, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
4-6 year
Boston, MA, USA; New York, NY, USA; Quincy, MA, USA; Washington D.C., DC, USA
2-4 year
Boston, MA, USA; New York, NY, USA; Quincy, MA, USA; Washington D.C., DC, USA
6-8 year
New York, NY, USA; San Francisco, CA, USA; Santa Clara, CA, USA; Washington D. C., DC, USA
6-8 year
Chicago, IL, USA; New York, NY, USA; Santa Clara, CA, USA; Seattle, WA, USA
4-6 year
Arlington, VA, USA; Boston, MA, USA; Jersey City, NJ, USA; Seattle, WA, USA
2-4 year
Boston, MA, USA; New York, NY, USA; Washington D.C., DC, USA
4-6 year