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# Data Analyst

- **Company:** Robert Half
- **Location:** Rockledge, FL, United States
- **Contract:** Temporary contract
- **Skills:** Big Data, Fraud Prevention and Detection
- **Published:** September 30, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3412424326&tx=IT9083TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Knowledge of fraud analytics techniques and the ability to recognize suspicious patterns in complex datasets.
 * Familiarity with anti-fraud practices, investigative workflows, and data-supported case review.
 * Strong analytical thinking with the ability to interpret findings and connect them to business impact.
 * Proficiency in working with structured data, building reports, and communicating results to non-technical audiences.
 * Ability to manage multiple priorities, maintain accuracy, and handle sensitive information with discretion., 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 large and varied datasets to identify unusual behavior, emerging fraud patterns, and potential risk indicators.
 * Develop reports, dashboards, and recurring analyses that help stakeholders monitor suspicious activity and make informed decisions.
 * Partner with fraud prevention and investigation teams to translate business questions into data-driven findings and practical recommendations.
 * Review transaction and behavioral data to detect inconsistencies, trends, and anomalies that may require deeper examination.
 * Support fraud investigations by organizing evidence, validating data points, and summarizing findings in a clear and actionable format.
 * Refine analytical methods and detection logic to improve the accuracy and efficiency of anti-fraud monitoring activities.
 * Present insights to internal partners in a concise manner, highlighting key risks, root causes, and opportunities for process improvement. Requirements - Experience performing data analysis in fraud, risk, compliance, or a closely related environment.


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