Business Intelligence Engineer II, AWS DC Central Operations
Location
Seattle, WA
Job Type
Full-time
Category
other-general
Posted
June 17, 2026
Description
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 AWS's 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-augmen...
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 AWS's 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-augmen...