Data Analyst
Responsibilities:
• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.
• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.
• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.
• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.
• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.
• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.
• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
Qualifications:
• Experience in data analysis within fraud, risk, compliance, or investigative environments.• Working knowledge of suspected fraud indicators, fraud analytics techniques, and anti-fraud practices.
• Ability to interpret large datasets and identify meaningful trends, anomalies, and risk signals.
• Strong analytical and problem-solving skills with attention to detail and accuracy.
• Experience supporting fraud investigation efforts through reporting, data review, or case analysis.
• Proficiency in organizing findings and presenting insights in a clear, business-friendly format.
• Ability to work effectively in a collaborative environment while managing priorities independently.
Compensation
$35.63-$41.25 HourlyAbout Us
Technology Doesn't Change the World, People Do.®
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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