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# Data Analyst

- **Company:** Robert Half
- **Location:** Irvine, CA, United States
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Big Data, Data Presentation, Fraud Prevention and Detection
- **Published:** July 31, 2026
- **Apply:** https://www.juju.com/job/00000000gkq7ce

## About the Role

Description We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders., * 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. Technology Doesn't Change the World, People Do.®, All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

* 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. Requirements * Experience in data analysis within fraud, risk, compliance, or investigative environments.


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