Business Intelligence Engineer, Global Sustainability, ...

Business Intelligence Engineer, Global Sustainability, Environmental Health & Safety Job ID: 2846772 | Amazon.com Services LLC 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 manages 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 a Business Intelligence Engineer that excels in thinking 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 identify opportunities for improvement and shape strategic recommendations.A successful candidate will have a deep knowledge of business intelligence solutions, possess excellent analytical abilities, and have the ability to work with technology, program, and business teams. They will have a passion for data and analytics, be a self-starter comfortable with ambiguity, have strong attention to detail, and be 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 pipelines to support automated reporting. Serve as a 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. BASIC QUALIFICATIONS - 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. PREFERRED QUALIFICATIONS - 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, detail-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, or related technical field.- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams, 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. #J-18808-Ljbffr

Created: 2025-01-14