Sr. Business Intelligence Engineer, Marketing, Amazon Leo

Amazon • Bellevue, WA

1d

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 marketing tech stack, partnering with Data Engineering,
Marketing Ops, Web 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

• 4+ years of processing large, multi-dimensional datasets from multiple sources experience
• 4+ years of developing automated reporting experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

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
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with SQL
• Knowledge of data warehousing and data modeling
• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Responsibilities

• Architect, build, and maintain foundational marketing datasets across our tech stack and other internal systems to support analytics, reporting, and activation use cases.
• Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for marketing use cases.
• Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, web engagement, attribution, and lifecycle funnels.
• Partner with Web Engineering and Marketing Ops to validate and evolve web/app instrumentation, event definitions, and data layer schemas.
• Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
• Implement data quality checks, anomaly detection, and monitoring to ensure reliability across all environments (alpha, beta, gamma, production).
• 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.

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: Mid Level
• Education Level: No Education Listed