Job Description:

• Support and enhance the development of payments and fraud KPIs, performance reporting, and post-launch analysis of new payment features and experiments
• Write and optimize SQL queries to uncover trends, anomalies and revenue opportunities
• Translate complex data into clear, actionable recommendations for business leaders
• Build and maintain dashboards to monitor fraud trends, payment declines, and overall payment health
• Provide analytical support to improve fraud detection and decision workflows
• Evaluate fraud rule performance, monitor alerts, and recommend data-driven improvements
• Analyze payment decline drivers and develop decline salvage and optimization opportunities
• Communicate performance insights, root cause analysis, and mitigation strategies across teams

Requirements:

• Bachelor’s degree in Business, Finance, Economics, Data Analytics, or related field
• 2+ years of experience in business analytics, preferably within payments and fraud
• Strong SQL expertise and experience working with large, complex datasets
• Proven ability to deliver business insights and performance-driven recommendations
• Experience building dashboards and reporting in Tableau
• Familiarity with card-not-present (CNP) subscription-based payments preferred
• Prior experience with Cybersource Decision Manager or similar fraud decisioning tools preferred

Benefits:

• 100% medical/dental/vision coverage
• Unlimited employee PTO
• Bonus program
• Equity plans
• 401K