Senior Business Intelligence Engineer, Amazon Leo
Posted Updated
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 subscriber lifecycle, focused on retention, churn prevention, and upsell. This role drives the analytical frameworks behind our most important lifecycle decisions.
The leader will build the forecasting frameworks that set retention targets, and quantify the impact of promotion and marketing investments. They will own the analytics that illuminate customer experience, satisfaction, churn drivers, and retention levers. They will stand up the experimentation discipline that separates winning initiatives from noise
A successful candidate has built end-to-end analytical workflows, is fluent with large-scale, geospatial, subscription, and promotion lifecycle data, translates ambiguous business questions into defended recommendations, and is obsessed with insights that unlock long-term customer value
Key job responsibilities
- Analyze large data sets to identify patterns, understand drivers, and generate insights across customer retention, churn prevention, and upsell
- Analyze retention and churn patterns to quantify lifecycle value by segment
- Design and maintain forecasting frameworks that set retention targets 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 retention and lifecycle workflows
- Analyze and create visualization of large geo-spatial data to drive 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 subscriber lifecycle, focused on retention, churn prevention, and upsell. This role drives the analytical frameworks behind our most important lifecycle decisions.
The leader will build the forecasting frameworks that set retention targets, and quantify the impact of promotion and marketing investments. They will own the analytics that illuminate customer experience, satisfaction, churn drivers, and retention levers. They will stand up the experimentation discipline that separates winning initiatives from noise
A successful candidate has built end-to-end analytical workflows, is fluent with large-scale, geospatial, subscription, and promotion lifecycle data, translates ambiguous business questions into defended recommendations, and is obsessed with insights that unlock long-term customer value
Key job responsibilities
- Analyze large data sets to identify patterns, understand drivers, and generate insights across customer retention, churn prevention, and upsell
- Analyze retention and churn patterns to quantify lifecycle value by segment
- Design and maintain forecasting frameworks that set retention targets 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 retention and lifecycle workflows
- Analyze and create visualization of large geo-spatial data to drive 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.