Fraud Strategy Data Analyst — Insight & Impact

Jobtailor; Arizona; On-site; USD 110,000 - 160,000; Full time

Job summary

U.S. Bank in Arizona is seeking an experienced Fraud Data Analyst to extract, transform, and analyze large-scale fraud data using SAS, SQL, Python, and related analytical tools.

You will evaluate fraud decisioning performance, alert effectiveness, decision outcomes, and workflow dynamics, and develop dashboards and executive-ready insights to guide risk decisions and improve operational efficiency.

Qualifications

• Bachelor’s degree or equivalent work experience required.
• 8+ years of applicable fraud analytics or risk management experience.
• Deep knowledge of fraud risk, operations management, and product lines.
• Strong analytical and forecasting abilities for fraud loss trends.

Responsibilities

• Extract, transform, and analyze large-scale fraud data using SAS, SQL, and Python.
• Evaluate fraud decisioning performance, alert effectiveness, and outcomes.
• Develop performance metrics, dashboards, and executive-level insights.
• Collaborate with cross-functional teams across Fraud Strategy and AI initiatives.

Skills

Analytical Skills

Effective Communication

Team Collaboration

Problem-Solving

Project Management

Education

Bachelor’s degree or equivalent

Tools

SAS

SQL

Python

Microsoft Office

Data Analysis Software

AI-Enabled Productivity Tools

Job description

U.S. Bank in Arizona is seeking an experienced Fraud Data Analyst to extract, transform, and analyze large-scale fraud data using SAS, SQL, Python, and related analytical tools.

You will evaluate fraud decisioning performance, alert effectiveness, decision outcomes, and workflow dynamics, and develop dashboards and executive-ready insights to guide risk decisions and improve operational efficiency.