Responsibilities

• Own data analysis and visualization as it relates to all team areas, such as compromise protection, anti-fraud and abuse, and security attacks. 
• Develop dashboards, metrics and analytical frameworks for key performance indicators and deep dive to understand the drivers.
• Identify new data sources and build data pipelines to extract data from raw data log into data warehouse. 
• Provide metrics and reports for leadership business review.   
• Help on abuse and security related incident response. 

Qualifications

• Master's Degree in Analytics, Engineering, Mathematics or Statistics.
• 2+ years of analyst experience in risk, account protection, security or identity.  
• Data manipulation skills including SQL and Python.
• Data visualization skills including PowerBI and Tableau.
• Familiarity with using a modern big data platform such as Hive/Spark/Cosmos/Kusto
• Confident communicator with the ability to interact at all levels.
• Basic knowledge about ML, especially binary classification, and anomaly detections.