Business Analyst, Buyer Abuse Data Science
Core
Business Analyst for Operations Analytics team focusing on risk prevention, fraud investigation, and operational efficiency in Amazon's e-commerce marketplace.
Role type
Senior Business Analyst (Data Science adjacent)
Builds
Dashboards, reports, and analytical models for risk and abuse detection
Domain
E-commerce, Risk Management, Fraud Prevention
Deliverable
dashboards & analysis
Required skills
SQL, Excel (VBA, pivot tables), Data Visualization (Tableau), Data Mining, Business Intelligence, Stakeholder Collaboration
Preferred skills
Python, Java, Scala, NodeJS, Machine Learning, Reinforcement Learning, Deep Learning, NLP, AWS Professional Certification
Technologies
QuickSight, Redshift, Tableau, Datanet ETL
Responsibilities
Monitor and triage Datanet ETL jobs; Query fraud/abuse signal tables for point-in-time analysis; Build/maintain QuickSight dashboards on Redshift aggregates; Prepare WBR/QBR inputs for goal tracking; Design experiments and build actionable models to optimize operations
Seniority
Senior, hands-on IC