Business Intelligence Engineer, GEMS NA Startup

At Amazon, we are building a procurement organization powered by trusted, scalable, and AI-ready data. The Global Engineering, Maintenance, & Sustainability (GEMS) Organization is seeking a Business Intelligence Engineer to support drive visibility, compliance analytics, and vendor performance insights across global procurement. This role focuses on transforming fragmented operational data into standardized, governed analytical products. You will work on high-impact initiatives such as sourcing analytics, compliance monitoring, and vendor management reporting, while contributing to the foundation for scalable self-service and AI-enabled decision making.

This is a hands-on role for someone who can partner with business stakeholders, build robust data models, and deliver clear, actionable insights in a fast-paced environment., Own and deliver BI solutions (datasets, dashboards, and analyses) supporting sourcing, compliance, and vendor management programs

• Contribute to the development of governed, reusable data products aligned with the GPO Data Hub
• Partner with business stakeholders to define metrics, translate requirements, and drive adoption of standardized reporting
• Build and maintain scalable data models and ETL pipelines using SQL and Python on AWS
• Ensure data quality, consistency, and documentation across analytical outputs
• Develop intuitive visualizations that enable clear decision-making for procurement leaders
• Collaborate with cross-functional teams within GPT and BI&A to align on data definitions, architecture, and best practices
• This position is based out of a corporate office and requires approximately 25% national travel

A day in the life You will work closely with GEMS stakeholders to understand sourcing and operational processes, define metrics, and build analytical solutions that improve visibility and decision-making. You will balance business-facing work (requirements, alignment, adoption) with technical development (data modeling, pipelines, dashboards), collaborating with teams across regions and functions to deliver scalable and reliable analytics.

Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

• Experience with data modeling, warehousing and building ETL pipelines
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Master’s degree in sciences, engineering, finance or equivalent, Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience with forecasting and statistical analysis

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 99,500.00 - 160,000.00 USD annually USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually