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We are looking for a Data Analyst to support fraud-focused analytical work for a long-term contract opportunity based in Mechanic Falls, Maine. This position will use data-driven insights to identify suspicious activity, strengthen anti-fraud efforts, and help improve investigative decision-making. The ideal candidate is comfortable working with complex datasets, spotting patterns and anomalies, and translating findings into practical recommendations for stakeholders.
Job Responsibility
Analyze transaction and operational data to detect unusual patterns, emerging fraud risks, and suspicious behavior
Develop reports, dashboards, and recurring analyses that support fraud monitoring and investigative priorities
Partner with fraud prevention and investigation teams to turn data findings into actionable case insights
Review large datasets to identify trends, outliers, and indicators that may signal financial or operational misconduct
Support anti-fraud initiatives by evaluating results, measuring effectiveness, and recommending analytical improvements
Prepare clear summaries of findings for business partners, highlighting risks, trends, and opportunities for response
Maintain data accuracy and consistency across analyses to ensure reliable reporting and sound decision support
Requirements
Experience in data analysis within fraud, risk, compliance, or investigative environments
Knowledge of fraud analytics, suspected fraud identification, and anti-fraud practices
Ability to interpret complex data and uncover meaningful trends, anomalies, and risk indicators
Experience supporting fraud investigations through analytical research and evidence-based reporting
Strong proficiency in organizing, validating, and analyzing large datasets
Effective communication skills with the ability to present findings clearly to cross-functional stakeholders