Business Intelligence Engineer, GCID (Global Capacity & Infrastructure Development)

Application deadline: Mar 17 2026

Amazon Web Services (AWS) builds and operates the infrastructure behind the worlds largest cloud platform. Within AWS the Global Capacity & Infrastructure Development (GCID) organization is responsible for the design planning procurement delivery and operation of all global infrastructure including data centers networking power and cooling systems that keep the cloud running for millions of customers worldwide.

Were looking for a Business Intelligence Engineer to join a high-impact team that turns complex infrastructure and supply chain data into clear actionable insights for leadership. No prior experience in data center or telecom infrastructure is required what matters is your ability to learn a new domain quickly ask the right questions and build reliable scalable BI solutions.

Youll use your analytical and engineering skills to contribute to insightful discussions with leadership and help the team anticipate the future direction of large-scale programs. Youll ensure the BI solutions you own are accurate timely accessible and actionable. Youre comfortable owning significant work streams end to end and delivering high-quality results with minimal guidance.

You contribute to team strategy and take ownership of key components of the teams infrastructure. You make things simpler. You follow and advocate for BI engineering best practices: code reviews syntax and naming conventions metric definitions and alarms. You dig into the root cause(s) of problems rather than treating symptoms and your work may help unblock adjacent efforts. You collaborate effectively across team boundaries when needed.

Key job responsibilities
Collaborate with cross-functional teams to design develop and maintain end-to-end complex performance metrics and visualizations to monitor and report business performance

Collect analyze and interpret large datasets from diverse sources to identify trends and patterns

Implement data governance best practices to ensure data accuracy consistency and compliance with security and privacy regulations

Proactively identify opportunities to improve data quality performance and usability of existing dashboards and reports

Design build and maintain end-to-end ETL pipelines from the ground up from raw data ingestion through transformation and delivery to downstream consumers

Work on data pipelines data models and leverage the AWS infrastructure tech stack to build tracking metrics and related visualizations

Provide technical guidance and support to stakeholders in leveraging dashboards and data insights to enhance decision-making processes

A day in the life
You will partner with teams across supply chain deployment operations finance legal and business development to track the cost timeline and performance of large-scale network infrastructure projects. Youll build end-to-end ETL pipelines and analytics solutions using AWS services ingesting data from multiple sources transforming it into reliable datasets and surfacing insights through dashboards that drive real decisions. You will be a valued analytical partner with the opportunity to take ownership of meaningful projects and grow your impact across the organization.

About the team
Our team builds the data platform and analytics that power decision-making for AWSs global capacity & infrastructure fiber organization. We collect data from dozens of sources build automated ETL pipelines and deliver dashboards that help leaders track large-scale construction and deployment programs against cost schedule and performance targets.

Were a small collaborative team where everyone has real ownership. Youll work directly with program managers finance and operations stakeholders. Our stack is AWS-native S3 Glue Athena Redshift and QuickSight. The domain is complex but learnable; what matters most is curiosity and strong engineering fundamentals.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 3 years of SQL ETL or Oracle experience
- 2 years of developing automated reporting experience
- 2 years of processing large multi-dimensional datasets from multiple sources experience
- Experience with forecasting and statistical analysis
- 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
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Building statistical models and automated ML pipelines

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 for more information. If the country/region youre applying in isnt 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 CO Denver - 99500.00 - 160000.00 USD annually