Senior Business Intelligence Engineer, Amazon Leo
Amazon · Bellevue, Washington, USA ·
- Seniority
- Senior
- Employment
- Full time
- Category
- Data analytics
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.
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.