Business Analyst, Payments and Fraud

100% remote Flexible hours Hiring now

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:

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