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

We are looking for a Senior Business Intelligence Engineer to build the diagnostic analytics layer for Amazons 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 worlds 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. Youll work with rich operational data at scale: millions of repair tickets rack lifecycle events parts inventory flows workforce scheduling data and hardware validation results.


- 10 years of performing statistical analysis experience
- Expert SQL skills complex analytical queries across large-scale datasets (multi-system joins window functions statistical aggregations across petabyte-scale data)
- Strong statistical foundation regression analysis statistical process control hypothesis testing and metric decomposition applied to real business problems
- Experience building automated reproducible analytical pipelines scheduled systems that serve ongoing business processes at production quality
- Proficiency in Python or R for data manipulation statistical analysis and visualization
- Demonstrated ability to decompose complex business metrics into attributable components translating this metric moved into heres why heres who owns each piece heres the impact
- Strong written and verbal communication ability to write diagnostic narratives and present complex analysis clearly to VP-level audiences

- Experience working directly with business stakeholders to translate between data and business needs
- Experience in operational analytics manufacturing logistics field operations supply chain or physical infrastructure domains where youve analyzed process efficiency failure modes or workforce productivity
- Experience with workforce analytics productivity measurement skill-gap analysis labor planning or efficiency modeling that accounts for varying task complexity and work mix
- Experience building composite metrics or indices that combine multiple dimensions into weighted scores (similar to OEE NPS or operational health indices)
- Experience with multivariate analysis identifying which factors among many are most strongly associated with performance outcomes
- Experience building decision-support tools recommendation frameworks or analytical playbooks structured systems where analysis directly translates to operational action
- Familiarity with forecasting methods (time-series decomposition trend analysis seasonality modeling) for operational planning
- Experience building analytical frameworks adopted across multiple teams reusable tools and methods that scale beyond individual analyses
- Experience with Amazon internal data tools (Redshift Athena QuickSight) is a plus for internal candidates
- Experience with data center cloud infrastructure or hardware operations is valuable but not required domain knowledge can be learned; analytical rigor cannot

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 - 130400.00 - 176300.00 USD annually