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Amazon · Seattle, WA

# Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team

US, WA, Seattle Senior individual contributor Data & Analytics 

Listed on Amazon’s official careers site. Posted May 20, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10425338/sr-business-intelligence-engineer-amazon-global-data-center-ops-central-insight-and-analytics-team)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team

## Job description

We are looking for a Senior Business Intelligence Engineer to build the diagnostic analytics layer for Amazon's global data center operations. You will move our analytics capability beyond reporting *what* happened to explaining *why* — identifying which factors drive metric deviation, decomposing performance into attributable components, and building the analytical frameworks that enable operational leaders to take the right action.

GDCO operates one of the world's largest physical infrastructure fleets — hundreds of data centers across 20+ countries — with thousands of technicians performing hardware repairs, rack installations, and preventive maintenance daily. We have strong descriptive analytics (dashboards, WBR metrics), but has opportunity in terms of explaining root causes, attribute performance gaps to specific factors, or recommend proven corrective actions.

This leader will focus on building that diagnostic layer.

This is a high-impact, high-autonomy role. You will scope analytical problems, build decomposition frameworks, partner with operational leaders to validate findings, and deliver insights that directly influence resource allocation, process design, and investment decisions at the VP level.

### You'll work with rich operational data at scale

millions of repair tickets, rack lifecycle events, parts inventory flows, workforce scheduling data, and hardware validation results.

## At a glance
- Posted by the employer: May 20, 2026
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 18, 2026
- Listed for: 151 days
- Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10425338/sr-business-intelligence-engineer-amazon-global-data-center-ops-central-insight-and-analytics-team)

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