Job description

At Amazon, we are building a procurement organization powered by trusted, scalable, and AI-ready data. The Global Procurement Organization (GPO) is seeking a Business Intelligence Engineer to support the Central Services pillar (GPCS), driving sourcing visibility, compliance analytics, and vendor performance insights across global procurement. This role sits within the BI&A team under Global Procurement Technology (GPT) and 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 GPO Data Hub—our 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. Key job responsibilities - 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 A day in the life You will work closely with GPCS 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. About the team The BI&A (Business Intelligence & Analytics) team within GPO partners with procurement and technology teams to build trusted data foundations and scalable analytics. As part of GPT, we operate at the intersection of business and technology, enabling standardized reporting, self-service analytics, and AI-ready datasets that support procurement decisions globally. - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 amazon.jobs . USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

Requirements

Must-haves

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.
Key job responsibilities
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
A day in the life
About the team
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aisqlpythonaws

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave