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Amazon Business Intelligence Engineer, WW Sustainability in Arlington, Virginia

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 to help us extend our data and analysis coverage in several workstreams within Sustainability. These work areas are expanding quickly, with increasing scope and new customers onboarding regularly. This role focuses on understanding and evaluating our supply chain, exploring it's sustainability across a broad range of dimensions.

Key job responsibilities

• Supports the operations of Amazon World-Wide Sustainability's supply chain evaluation data, including ingestion, documentation, quality, and metadata management.

• Design, develop, and program methods and processes to consolidate unstructured data from bespoke sources

• Partner with the science team to operationalize new data pipelines, identifying opportunities to scale science work, and promote data best practices

• Produce reporting and visualization to support Amazon World-Wide Sustainability’s supply chain evaluation needs as a customer of this team, producing denormalized tables and associated dashboards.

• Regularly interact with product and program teams to identify core problems and opportunities that can be answered through data analysis and experiments

A day in the life

While working within the broader Sustainability business intelligence community to define and model reporting and analysis best practices, you'll partner closely with a team of program and product experts, focusing on how to use audit data, industry reporting, and socioeconomical datasets to quickly develop new solutions in the sustainability space. One day you might be building a data pipeline to consume assessment data and the next you might be working to produce and ship a dashboard allowing our sourcing teams to achieve better insights. Every day you'll connect with world-class minds at the cutting edge of their space.

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:

Arlington, VA, USA | Detroit, MI, 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

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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