DESCRIPTION Join us at the cutting edge of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.
The Worldwide Sustainability (WWS) organization capitalizes on Amazon's scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable.
The Sustainability Measurement & Abatement Technology team builds technical solutions to track, record, and forecast Amazon's WW impact on the Environment (i.e., Carbon, Water, Waste, etc.). This includes calculating past and current impacts and future abatement plans, ensuring credibility through standards and validations, and highlighting non-obvious opportunities for Amazon's global business teams.
We are looking for a Business Intelligence Engineer who will assist us in developing analytical solutions for measuring and reporting on Amazon's global footprint impact areas. You will build and maintain centralized reporting tables and interactive dashboards that are consumed by thousands of Amazonians.
Your work will help contribute to WW Sustainability delivering high quality products that enable teams across the country to take actions critical to meeting and exceeding Climate Pledge commitments.
The ideal candidate will know how to construct data pipelines and interactive dashboards based on ambiguous requirements, with demonstrated experience working with cross-functional stakeholders in both technical and non-technical roles.
They should be able to transition well between heads down deep dive analysis and query development to presenting their findings to stakeholder groups in a clear and accessible manner that demonstrates the impact of their findings and solutions.
Key job responsibilities
* Deliver highly visible data visualization solutions for measuring and reporting on Amazon's global carbon, waste, and water footprints
* Support numerous internal WWS teams in developing and maintaining metric tables, interactive dashboards, and data pipeline alarms
* Provide ad hoc data extraction and assessment support to program teams tasked with reporting on business unit activities and external disclosures
* Develop and lead reporting on user engagement and customer sentiment across all WWS products
About the team
Diverse Experiences:
World Wide Sustainability (WWS) 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.
Inclusive Team Culture:
It is in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance:
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Mentorship and Career Growth:
We have a career path for you no matter what stage you're in when you start here. 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.
We are open to hiring candidates to work out of one of the following locations:
New York City, NY, USA | San Franscisco, CA, USA | Seattle, WA, USA BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
