Sr.Business Intelligence Engineer, AWS DC Global Network Delivery

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Best Practices, Business Intelligence, Cloud Computing, Code Reviews, Cross-Functional, Data Analysis, Data Mining, Data Modeling, Data Quality, Data Sets, Embedded Systems, Leadership, Mentoring, Metrics, Network Architecture/Engineering, Network Operations Center, Process Improvement, Reporting Dashboards, Reporting Skills, Requirements Management, Safety Standards, Software Design, Standards Development, Startup, Supply Chain, Systems Analysis, Taxonomies, Time Management
LOCATION
Seattle, WA
POSTED
4 days ago

AWS Global Network Delivery Services keeps the cloud running. We own the delivery and operation of all AWS global infrastructure - every data center, every server, every cable that ensures hundreds of millions of customers have uninterrupted access to the services they depend on. We work on some of the hardest supply chain and infrastructure problems on the planet, with thousands of variables in play, and we"re looking for exceptional people who want to help solve them.

You"ll join a diverse, cross-functional team of Product, TIPMS, network engineers, planners, builders and operations leaders globally and collaborate across AWS to deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost. You will experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

We are seeking a Senior Business Intelligence Engineer who thrives with a startup mentality - someone who can move fast, think big, and partner directly with business and Senior leaders to turn ambiguous problems into clear, data-backed recommendations.

What makes this role exciting? You won"t just build metrics and dashboards - you"ll build context. You"ll own building relevant and context driven source of truth datasets and metrics that track infrastructure delivery process from intake through deployment to decommission lifecycle, giving leaders end-to-end visibility into the health and efficiency of our delivery milestones. You"ll partner closely with Data Engineering and Product and Software teams to design and build innovative self-service platforms that empower business teams to answer their own questions without waiting in a queue.

The ideal candidate is deeply analytical, endlessly curious, and energized by the challenge of mining complex datasets to surface insights that change how the organization operates. You ask sharp questions, dig relentlessly into the data, and aren"t satisfied until you"ve identified not just what happened, but why - and what we should do about it. You understand that great BI isn"t about just producing reports; it"s about enabling decisions with the right timely tradeoffs. You"ll build context-driven, well-documented datasets and innovative self-service tools that put data directly in the hands of the people who need it most, and you"ll use the principles of data mining, data modeling, and AI to evaluate business health and drive measurable improvement.

Key job responsibilities

  • Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions - translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
  • Collaborate with Sr.Business Leaders, TiPM, Product, DE to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
  • Design, develop, and deploy production-grade context driven datasets and pipelines for self serve, enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
  • Drive alignment on metrics definitions, taxonomy, and data governance across stakeholders
  • Establish a BI platform enabling stakeholders to self-serve at scale
  • Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
  • Mentor and develop junior team members - establishing and driving best analytics practices across the team
  • Communicate results, insights, and recommendations across all levels of the organization - from engineering teams to senior leadership - distilling complex findings into clear, actionable narratives tailored to each audience
  • Analyzing source data systems and driving best practices in source teams.

A day in the life

Mornings start with pipeline health checks and intake triage. Then you go deep - scoping new metrics by understanding sources and questioning what business decisions they"ll actually drive, before writing any code. Afternoons shift between refactoring legacy pipelines into modular, documented stages; presenting draft dashboards with honest caveats to leadership; and reviewing teammates" work. You close the day by documenting what you learned, pushing your CR, and making sure nothing stays only in your head. Every step is deliberate - understanding before building, transparency over polish.

About the team

We are the PAX Analytics team - a small, high-conviction group of BI Engineers and Data Engineers embedded in one of the world"s largest and fastest-growing data center organizations. We were established less than a year ago with a clear mandate: turn operational complexity into decision-ready clarity.

We don"t build dashboards. We build context - the kind that lets leaders act with confidence and operators spot problems before they become incidents. Our work spans the full data lifecycle: sourcing and integrating raw operational signals, engineering reliable pipelines at scale, and surfacing insights through self-service tools that hundreds of people rely on daily.

Every pipeline we ship, every standard we define, and every contract we establish becomes the foundation for what comes next

We are young, we are scrappy, and we are building something that will outlast us. If you want to lay foundations that an entire organization will stand on - you"re in the right place.

About the Company

A

Amazon.com Inc

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
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles