Sr.Data Analyst (PPE/Fraud)
Core
Design scalable data solutions and build robust data pipelines to identify fraud patterns, measure risk, and enable data-driven decision-making for fraud prevention.
Role type
Senior IC data analyst/data engineer (fraud analytics)
Builds
Scalable ETL/ELT pipelines, fraud datasets, and self-service dashboards for risk stakeholders
Domain
E-commerce fraud detection and risk management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, ETL/ELT pipeline development, data modeling, fraud pattern analysis, data quality monitoring, performance optimization, stakeholder collaboration
Preferred skills
Python for data ingestion, automation of manual processes, experimentation and measurement frameworks
Technologies
SQL, Python, ETL/ELT tools, data warehouses
Responsibilities
Design and maintain scalable data pipelines for fraud analytics; develop fraud performance metrics and reporting frameworks; optimize data processing workflows and warehouse performance; build self-service dashboards for fraud monitoring; collaborate with cross-functional teams to translate business requirements into data solutions.
Seniority
Senior, hands-on IC
