Own end-to-end data solutions for assigned GCS program areas while developing deep subject matter expertise in sustainability domains
Design and implement scalable data models using Amazon's internal tools and AWS technologies while building interactive Quicksight dashboards
Create automated data pipelines that reduce manual effort and increase data reliability with robust data quality checks and monitoring
Serve as primary data point of contact for assigned GCS programs and regions while collaborating with program SMEs to prioritize objectives
Translate complex business requirements into technical specifications and educate stakeholders on data capabilities
Regularly evaluate and optimize existing data solutions while identifying opportunities to scale successful approaches across programs
Stay current with emerging data technologies and sustainability analytics trends for continuous improvement.

Requirements

Advanced SQL skills with proven ability to design efficient and maintainable data models
Experience building data pipelines using AWS services including S3, Glue, and Lambda
Proficiency with BI tools, particularly Quicksight, with working knowledge of Python for data transformation and analysis
Understanding of data quality methodologies and implementation approaches
Demonstrated ability to translate business requirements into technical solutions with cross-functional team experience
Strong analytical thinking with ability to identify patterns and insights in complex datasets
Understanding of sustainability concepts and metrics including carbon accounting, water stewardship, and waste management.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingdata pipelinesAWSS3GlueLambdaQuicksightPythondata quality methodologies

Soft Skills

analytical thinkingcollaborationcommunicationproblem-solvingstakeholder education