Lead Data Analyst - Fraud Risk

Job Summary

Proactively building data discovery processes, the full-time Lead Data Analyst - Fraud Risk will perform exploratory analytics to identify fraud indicators and collaborate with various teams in a fully remote, 12-month contract role.

Key Responsibilities

• Perform deep-dive exploratory analytics and data discovery to identify anomalies, trends, and potential indicators of internal and external fraud
• Partner closely with Digital Technology and Governance, Risk, and Compliance teams to design and implement technological fraud solutions
• Build, define, and refine unstructured data processes to establish clean workflows and robust documentation for anomaly handoffs to the Office of Inspector General

Required Qualifications

• Proven mid-to-senior level experience in data analytics, data discovery, and advanced data mining
• Strong experience working with fraud analytics, anomaly detection, or forensic data analysis
• Demonstrated ability to work independently and maintain high performance in an ambiguous, "greenfield" program environment
• Exceptional communication skills with the confidence to propose new methodologies and voice proactive feedback to leadership
• Prior experience in transportation, construction, large-scale asset-intensive sectors, or the financial sector is highly preferred