Fraud Strategy Data Analyst: Enterprise Impact & Insights

Us Bank; Fargo (ND); On-site; USD 108,000 - 128,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) retirement plan

Paid vacation

Up to 11 paid holidays

Parental leave

Job summary

U.S. Bank is seeking a Fraud Strategy Data Analyst to provide enterprise-level analytics on fraud decisioning performance and risk reduction.

The role involves developing measurement frameworks, analyzing loss drivers, and translating complex data into actionable insights for leadership. The position requires advanced analytics skills and collaboration with Fraud Strategy, Risk, Operations, and AI/ML teams to optimize controls and improve outcomes.

Qualifications

• Bachelor’s degree, or equivalent work experience is required.
• Typically more than eight years of applicable experience.
• Strong analytical and communication skills are essential.
• Experience with fraud risk or financial services is a plus.
• Proficiency with data analysis tools and SQL is beneficial.

Responsibilities

• Provide enterprise-level analytical insight into fraud decisioning performance and risk reduction.
• Develop and apply frameworks to quantify fraud benefits, losses avoided, and business impact.
• Analyze fraud performance across deposits, digital, payments, and authentication domains.
• Evaluate alert effectiveness, decision outcomes, and workflow dynamics.
• Create dashboards and executive-level insights for leadership.

Skills

Analytical skills

Project management

Verbal and written communication

MS Office

Data analysis software

Education

Bachelor’s degree, or equivalent work experience

Tools

MS Office

Data analysis software

Job description

U.S. Bank is seeking a Fraud Strategy Data Analyst to provide enterprise-level analytics on fraud decisioning performance and risk reduction.

The role involves developing measurement frameworks, analyzing loss drivers, and translating complex data into actionable insights for leadership. The position requires advanced analytics skills and collaboration with Fraud Strategy, Risk, Operations, and AI/ML teams to optimize controls and improve outcomes.