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.
Numbers & Facts
| Location | Arlington, VA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Business Intelligenceunmatched
- Cross-Functionalunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Setsunmatched
- Database Extract Transform and Load (ETL)unmatched
- Documentationunmatched
- Hyperion Pillarunmatched
- Maintain Complianceunmatched
- Management Reportingunmatched
- Metricsunmatched
- Operations Processesunmatched
- Procurement Softwareunmatched
- Purchasing/Procurementunmatched
- Python Programming/Scripting Languageunmatched
- Reporting Dashboardsunmatched
- Requirements Managementunmatched
- SQL (Structured Query Language)unmatched
- Scalable System Developmentunmatched
- Vendor/Supplier Evaluationunmatched
- Vendor/Supplier Managementunmatched
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