AWS, Data Modeling, Data pipelines, Data science techniques, Data Warehousing, Database, ETL frameworks, Finance, Java Programming, Leadership, Python Programming, SQL, Statistics, Terabyte scale datasets
The AWS Builder Relations Science Team (BRST) is looking for an experienced Business Intelligence Engineer to take ownership of data management, analytics, and dashboards/reporting from Salesforce using QuickSight. This team manages an agile and immersive employee listening system that collects, analyzes, and generates timely insights to AWS business and HR leaders about issues that matter most to our builders. We do this by using qualitative and quantitative methods to understand what our employees care about and bring their voice directly to senior leaders.
We use surveys, focus groups, and other methods to understand the voice of our employees and build out analytics tools and dashboards to tell the story of this data in a way that promotes action. We work closely with both technical and non-technical business and HR leaders across AWS to drive real and lasting positive change. We are an interdisciplinary team with researchers, data scientists, and analysts from various disciplines, and walk the line between scientist and practitioner.
This position provides an opportunity to serve as a BIE leader, where you will interact with scientists, HR leaders, and business leaders of all levels across AWS. An ideal fit for this role will have both technical and business acumen, strong Customer Obsession, and the ability to Invent and Simplify.
Key job responsibilities
This role can be based within 100 miles of any US AWS Corporate location (i.e. Seattle, WA, Arlington, VA, Herndon, VA, New York, NY, Boston, MA, Chicago, IL, Dallas, TX, Austin, TX, Cupertino, CA, Palo Alto, CA, etc).
About the team
The mission of the AWS Builder (aka: Employee) Relations team is to help AWS become Earth’s Best Employer by proactively identifying themes, trends, and gaps in our builder experience, and delivering initiatives to address issues in the workplace.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
The base pay range for this position $99K - $185K yearly. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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
Arlington, VA, USA
2-4 year
Bellevue, WA, USA
4-6 year
Ballston, NY, USA
2-4 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
Cupertino, CA, USA
2-4 year
Denver, CO, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida City, FL, USA
2-4 year
Herndon, VA, USA
2-4 year
Irvine, CA, USA
2-4 year
Minneapolis, MN, USA
2-4 year
New Jersey, USA
2-4 year
Pasadena, CA, U.S.
2-4 year
Pittsburgh, PA, USA
2-4 year
Pasadena, CA, USA
2-4 year
Portland, OR, USA
2-4 year
Portland, OR, USA
2-4 year
San Diego, CA, 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
Santa Clara, CA, USA
2-4 year
Santa Monica, 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
Sunnyvale, CA, 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
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
Austin, TX, USA
2-4 year
Chicago, IL, USA
2-4 year
Dallas, TX, USA
2-4 year
Detroit, MI, USA
2-4 year
Houston, TX, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Nashville, TN, USA
2-4 year
Phoenix, AZ, USA
2-4 year
Salt Lake City, UT, USA
2-4 year
Tempe, AZ, USA
2-4 year
London, UK
2-4 year
United States
2-4 year
Bellevue, 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
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
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
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
San Francisco, CA, USA
4-6 year
Toronto, ON, Canada
8-10 year
Washington D.C., DC, USA
2-4 year
San Francisco, CA, USA
4-6 year
Mono Hot Springs, CA, USA
4-6 year
Washington D.C., DC, USA
4-6 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
Seattle, WA, USA
6-8 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
Houston, TX, USA
6-8 year
Dallas, TX, USA
6-8 year
San Francisco, CA, USA
4-6 year
Seattle, WA, USA
4-6 year
Chicago, IL, USA
4-6 year
New York, NY, USA
4-6 year
Los Angeles, CA, USA
4-6 year
Mountain View, CA, USA
4-6 year
San Francisco, CA, USA
6-8 year
Santa Clara, CA, USA
6-8 year
Seattle, WA, USA
4-6 year
San Francisco, CA, USA
8-10 year
Miami, FL, USA
4-6 year
Santa Clara, CA, USA
6-8 year
Washington D. C., DC, USA
6-8 year
San Francisco, CA, USA
4-6 year
Arlington, VA, USA
4-6 year
Santa Clara, CA, USA
4-6 year
Washington D. C., DC, USA
4-6 year
New York, NY, USA
4-6 year
New Jersey Turnpike, Kearny, NJ, USA
4-6 year