Sr. Business Intelligence Engineer, B2C, Amazon Leo

Amazon.com Inc

Bellevue, WA

JOB DETAILS
SKILLS
Analysis Skills, Best Practices, Business Architecture, Business Intelligence, Business Support, Communication Skills, Cross-Functional, Customer/Client Research, Customer/Consumer Behavior, Data Analysis, Data Modeling, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Forecasting, Government, Hospital, Identify Issues, Instrumentation Engineering, International Business, International Marketing, Leadership, Marketing, Mentoring, Microsoft FAST, Performance Metrics, Process Improvement, Regulations, Reporting Dashboards, SQL (Structured Query Language), Sales Operations, Startup, Systems Analysis, Taxonomies, Team Player, Technical Strategy, Time Management, United States Citizen, Use Cases, eCommerce
LOCATION
Bellevue, WA
POSTED
26 days ago

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

We are seeking a strategic and technical Business Intelligence Engineer to build the analytics and data foundations that power Amazon Leo"s global marketing engine. This role is critical in defining how a new Amazon business measures customer behavior, marketing effectiveness, funnel performance, and growth. You will design and build datasets, dashboards, pipelines, and measurement frameworks that enable Marketing, Product, and Leadership teams to make fast, data-driven decisions at scale.

This is a high-impact role requiring both strategic vision and hands-on technical execution. You will own and evolve the backend data architecture within our Customer Dat (Treasure Data), building upon existing foundations as new data sources and use cases emerge. You will design and maintain datasets and pipelines across our B2C tech stack, partnering with Data Engineering and Product teams to ensure complete, accurate, and actionable data across the full customer journey. This role requires collaborative autonomy-you will make independent strategic and technical decisions and drive your work forward with minimal oversight, while actively coordinating with cross-functional partners to ensure alignment and shared success.

Key job responsibilities

  • Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
  • Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
  • Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
  • Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
  • Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
  • Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
  • Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
  • Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews). Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business. Participate in hiring activities and mentor junior team members

Export Control Requirement:

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

A day in the life

You will spend part of your day improving the business health data architecture-designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.

About the team

The Amazon Leo B2C team is responsible for building a world-class experience and driving global demand for a transformational connectivity service. The B2C Analytics team builds the systems, data flows, measurements, and insights that support a multi-LOB global business. We operate with the agility of a startup inside Amazon, partnering closely with Engineering, Product, Science, and global marketing teams to ensure our decisions are grounded in high-quality data.

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