Business Intelligence Engineer, Everyday Essentials Replenishment
Core
Drive analytics and insights for Amazon's Subscribe and Save program, specifically measuring and optimizing customer reorder behavior and AI integration experiences.
Role type
Senior Business Intelligence Engineer (Data Analytics & Pipelines)
Builds
Automated data pipelines, QuickSight dashboards, and measurement frameworks for subscription metrics and AI integration.
Domain
E-commerce / Subscription Services / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, ETL, Data Warehousing, Statistical Analysis, Data Visualization, Python, Data Modeling, Large-scale Data Processing
Preferred skills
AWS (EC2, DynamoDB, S3, Redshift), Data Mining, R, SAS, Matlab
Technologies
Redshift, Oracle, NoSQL, Spark (Cradle), Andes, AWS, QuickSight, Tableau, Python, R, SAS, Matlab
Responsibilities
Own analytics for SnS integration with conversational AI surfaces; Design, build, and maintain automated data pipelines; Develop and maintain QuickSight dashboards; Define and operationalize P0/P1 reorder metrics; Conduct deep-dive analyses on customer behavior and churn; Partner with science teams on model evaluation; Contribute to data architecture strategy.
Seniority
Senior, hands-on IC