Senior Fraud Data Analyst

Required Skills & Experience

Bachelor's degree or equivalent experience 5+ years of experience in fraud analytics, fraud strategy, or fraud risk within banking, credit unions, fintech, or financial services Strong experience analyzing large datasets and identifying fraud trends Advanced SQL skills for querying, analyzing, and reporting data Advanced Power BI experience, including dashboard creation, data modeling, and executive reporting Experience writing, testing, and optimizing fraud detection rules Experience with fraud monitoring and fraud loss prevention strategies Ability to communicate data insights and recommendations to leadership and non-technical stakeholders Strong analytical, problem-solving, and critical-thinking skills

Nice to Have Skills & Experience

PowerBi experience Experience with fraud platforms such as Falcon, Verafin, Alloy, or FIS Experience with Tableau, Qlik, or SSRS

Job Description

Insight Global is seeking a Senior Fraud Data Analyst to support a leading financial institution's fraud prevention and risk management efforts. This individual will be responsible for analyzing fraud trends, identifying emerging threats, and developing strategies to reduce fraud losses while maintaining a strong member experience. The ideal candidate will own the full fraud analytics lifecycle, including data analysis, modeling, visualization, reporting, and fraud rule development. They will partner with senior leadership to present data-driven recommendations, create executive-level reporting, and help shape enterprise-wide fraud strategy. This role also supports fraud detection system optimization and business intelligence reporting initiatives.