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

Amazon

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Business Intelligence, Business Processes, Cloud Computing, Communication Skills, Corrective Action, Data Quality, Data Sets, Decision Support, Forecasting, Gap Analysis, Hardware Repair, Home Automation, Kronos Workforce Scheduler, Logistics, Maintenance Services, Manufacturing, Metrics, Multivariate Analysis, Network Operations Center, Operational Audit, Operations Planning, Presentation/Verbal Skills, Preventative Maintenance, Process Analysis, Python Programming/Scripting Language, Quality Metrics, Query Analysis, R Programming Language, Reporting Dashboards, Resource Management, SQL (Structured Query Language), Statistical Process Control, Statistics, Structured Analysis, Supply Chain Operations, Systems Analysis, Trend Analysis, Vehicle Fleets, Writing Skills
LOCATION
Seattle, WA
POSTED
30+ days ago
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. Basic Qualifications - 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 "here's why, here's who owns each piece, here's the impact" - Strong written and verbal communication - ability to write diagnostic narratives and present complex analysis clearly to VP-level audiences Preferred Qualifications - 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 you've 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 https://amazon.jobs/en/benefits . USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles