Business Intelligence Engineer II, AWS DC Central Operations

Are you passionate about turning operational data into the decisions that run a global data center fleet Do you want to do that work on a platform that pairs traditional BI with the GenAI capabilities that are reshaping the field

The Central Infrastructure Analytics Team (CIAT) is the unified source for Infrastructure Operations data and business intelligence solutions across AWSs global data center fleet. We support Central Operations leaders running rack install decommission repair logistics capacity optimization and network operations.

We are looking for a Business Intelligence Engineer to design and own customer-facing analytics products and to drive analytics adoption across our customer teams. You will partner with operations leaders to translate business questions into measurable KPIs build dashboards and metric layers in QuickSight and increasingly leverage GenAI tools Amazon Q natural language query interfaces and retrieval-augmented analytics to multiply your impact across thousands of users.

Successful BIEs on this team are customer-obsessed comfortable with operational ambiguity and equally interested in building great dashboards and in teaching customers to build their own. They write strong SQL communicate clearly with non-technical leaders and treat GenAI as a tool they actively use rather than a topic to read about.

Key job responsibilities
- Design build and maintain dashboards and analytical reporting solutions in QuickSight that support InfraOps decision-making
- Partner with business and technical stakeholders to translate operational questions into KPIs data products and Weekly and Monthly Business Review (WBR/MBR) narratives
- Develop and present recommendations to senior leaders including written narratives and verbal walk-throughs of insights
- Design Amazon Q topics and supporting datasets that enable customer analysts to self-serve on questions previously requiring a CIAT engagement
- Use CIATs GenAI tools Amazon Q natural language query interfaces and retrieval-augmented analytics as a primary part of the job
- Contribute to CIATs analytics enablement programs that train Central Ops analysts on BI tools query platforms and GenAI capabilities
- Write SQL against the teams data warehouse and datalake to validate metrics investigate data quality issues and prototype analytics


A day in the life
Most days mix a few hours of focused build work SQL development dashboard iteration metric validation with stakeholder time. You might join a working session with a Logistics or Capacity Optimization team to walk through a metric definition then sit with one of their analysts to review a query they wrote against CIATs datalake. After lunch you might pair with a Data Engineer on the data model behind a new WBR metric draft the narrative for that weeks review and review another BIEs pull request before logging off. On a different day the focus is an Amazon Q topic for a domain that has been generating repeat ad-hoc requests designing the supporting dataset configuring synonyms and testing answers against real questions customers have asked.

You will be in front of customers regularly not constantly but enough that you should enjoy that side of the work. The team partners closely with Data Engineers and Systems Development Engineers so you will rarely be the only person on a problem.

About the team
CIAT gathers transforms and analyzes data for inventory change-of-state system health safety security workload and resource efficiency across AWSs global data center fleet. Our customers are the operations leaders who run rack install decommission repair logistics capacity optimization and network operations. We are investing heavily in self-service and GenAI-powered analytics to expand the reach of the team beyond what any one BIE can deliver alone.


- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelors degree in BI finance engineering statistics computer science mathematics or equivalent quantitative field

- 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
- Experience using analytical specific tools such as Google analytics SQL or HTML
- Experience with developing machine learning and natural language processing products
- Experience working in an operations supply chain transportation project management or management consulting role
- Experience building data pipelines or automated ETL processes

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 WA Seattle - 99500.00 - 160000.00 USD annually