Job Description

• Monitor our automated fraud and campaign performance screening software.
• Develop multi service, system, and/or process knowledge in order to detect and mitigate fraudulent activity and other conspicuousness across various services.
• Analyze, interpret, and summarize transactional data to detect suspicious patterns and identify behavior trends among users.
• Effectively communicate the suspect usage patterns and performance analysis to the corresponding account manager and product engineering.
• Collaborate with product engineering to ensure the continuous improvement of the anti-fraud and campaign monitoring tool.

Job Requirements

• At least Associates Degree in Business, Mathematics or Statistics.
• 1+ year full-time working experience as data analyst in a digital-focused company and strong knowledge in statistics, mobile ecosystem and marketing (CPI, CPA, Affiliates, etc.).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proven ability to work efficiently with colleagues at all levels across the organization, as well as strong verbal and written communication skills.
• Strong knowledge of and experience with reporting packages and tracking systems such as TUNE HasOffers, Voluum, Cake, etc. a plus.
• Basic IT knowledge (IP, Proxy, User Agent, etc.) is much appreciated.
• Demonstrated experience and/or strong working knowledge of Microsoft Excel.
• Must be able to work five, 8 hour evening shifts, including weekends and holidays.