Senior Business Intelligence Engineer, Everyday Essentials Replenishment
Core
Lead analytics strategy and build data infrastructure for Amazon's Subscribe and Save (SnS) and Everyday Essentials (EE) reorder ecosystem, powering customer-facing AI experiences and predictive models.
Role type
Senior Business Intelligence Engineer (Analytics Strategy & Infrastructure)
Builds
Production-grade data pipelines, QuickSight dashboards, and measurement frameworks for a $23B+ OPS business.
Domain
E-commerce, Subscription Services, Retail
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Large-scale data engineering, SQL, Python, data modeling, ETL/ELT, data visualization, predictive analytics, GenAI/ML model design, experiment measurement frameworks, mentorship
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Lambda), distributed systems (Hadoop, Spark), complex financial modeling, strategic influence
Technologies
Redshift, Oracle, NoSQL, Spark, EMR, Lambda, AWS, QuickSight, Tableau, Power BI, Python, R, SQL
Responsibilities
Own analytics strategy and roadmap for EE Replenishment; Lead analytics for GenAI and ML initiatives; Design and maintain automated data pipelines; Define and operationalize P0/P1 reorder metrics; Build and maintain QuickSight dashboards for VP+ leadership; Conduct deep-dive analyses on customer behavior and subscription churn; Drive operational excellence across the BI function; Mentor junior BIEs; Partner with science teams on ML model design
Seniority
Senior, hands-on IC with mentorship responsibilities
