At Amazon, we are committed to and invested in Sustainability because it’s a win all around – it’s good for business, the planet, our customers, and our communities. Our Global Corporate Sustainability team manage our social and environmental impacts for Amazon’s corporate offices worldwide. We drive solutions that enable our Amazonians and our business partners within the Global Real Estate and Facilities organization to become more sustainable.

We are looking for Business Intelligence Engineer that excels in think big and bias for action to support our sustainability team. In this role you will create the analytics architecture to support our sustainability initiatives across our business including tracking our carbon, waste and water footprint and creating new metrics to embed sustainability into our business functions. The foundational work that you take on will inform strategic, high-visibility initiatives. This role requires both the technical expertise and program know how needed to start something new.

In this role you will work closely with program managers, operations teams, sustainability experts and business leaders to set up identify opportunities for improvement and shape strategic recommendations.

A successful candidate will have a deep knowledge of business intelligence solutions and possess excellent analytical abilities, and have the ability to work with technology, program, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to help Amazon make the right decisions in sustainability. They will understand sustainability in buildings to be able to source data and develop analysis to identify and measure progress.



Key job responsibilities
•Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. Systems might be customer internal-built, or a SAAS solution.
•Design and develop the backend data infrastructure that provides value immediately and scales.
•Dive deep into our carbon footprint reporting sources, identify gaps and create mechanisms to track ongoing carbon metrics to deliver into the organization.
•Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Be hands-on with ETL to build data pipeline to support automated reporting.
•Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. Where data does not yet exist, develop the system it will be collected and roll out solutions.
•Build various data visualizations to tell the story of trends, patterns, and outliers.
•Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.


- Bachelor’s degree in Computer Science, Engineering, Mathematics or related experience.
- 6+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
- 6+ years of experience in data mining and data-set preparation using SQL.
- 6+ years of experience with Tableau Desktop or other relevant data visualization software.

- 8+ years of experience in a data engineer or BIE role with a technology company.
- Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.
- Be self-driven, details-oriented, and show ability to deliver on ambiguous projects with incomplete data.
- Proficient understanding of data warehousing, data modeling methods.
- Knowledge of sustainability solutions in buildings or building energy modeling.
- Graduate degree in Computer Science, Engineering, Mathematics, related technical field
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical team, and senior management as required.
- Familiarity with Amazon's AWS services including Glue, EC2, S3 and Redshift.
- Experience working in large data warehouse environments.
- Experience conducting large scale and complex data analysis to support business decision making.
- Knowledge or experience about life cycle analysis and carbon reporting methodology

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.