Senior Business Intelligence Engineer, Amazon Leo

Full Job Description

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.

The North America Consumer team is hiring a Senior Business Intelligence Engineer to lead analytics across the full subscriber lifecycle, from acquisition through retention. This role drives the analytical frameworks behind our most important growth and lifecycle decisions.

The leader will size addressable segments using geospatial demand models, build the forecasting frameworks that set growth targets, and quantify the impact of promotion and marketing investments. They will also own the analytics that illuminate customer experience, satisfaction, churn drivers, and retention levers, connecting upstream acquisition quality to downstream lifecycle outcomes. They will stand up the experimentation discipline that separates winning initiatives from noise across both motions.

A successful candidate has built end-to-end analytical workflows, is fluent with large-scale and geospatial data, translates ambiguous business questions into defended recommendations, and is obsessed with insights that unlock subscriber growth and long-term customer value.

Key job responsibilities

• Analyze large data sets to identify patterns, understand drivers, and generate insights across the full customer lifecycle
• Build geospatial models to size addressable segments and inform acquisition strategy
• Analyze retention and churn patterns to quantify lifecycle value by segment
• Design and maintain forecasting frameworks that connect acquisition targets to retention outcomes and long-term subscriber economics
• Quantify the impact of promotions, marketing investment, and lifecycle interventions through rigorous experimentation and causal inference
• Write queries to extract data and insights combining Amazon Leo datasets with publicly available datasets
• Design, build, and maintain automated reporting, dashboards, and recurrent analyses in support of data-driven decisions
• Identify opportunities for automation to accelerate insight generation across both acquisition and retention workflows
• Analyze and create visualization of large geo-spatial data to drive subscriber growth and retention strategies
• Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders

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.

Basic Qualifications

• 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
• 4+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience programming to extract, transform and clean large (multi-TB) data sets

Preferred Qualifications

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

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, BELLEVUE - 130,400.00 - 176,300.00 USD annually

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 4+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field Experience programming to extract, transform and clean large (multi-TB) data sets