Sr. Business Intelligence Engineer, B2C, Amazon Leo

Amazon • Bellevue, WA

1d • Onsite

About The Position

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

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• 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.

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed