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Amazon Business Intelligence Engineer Global Sustainability 
United States, Washington, Seattle 
479049161

05.02.2025
DESCRIPTION

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.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.


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.