We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cincinnati, Ohio. In this role, you will leverage your expertise to analyze data patterns, identify potential fraudulent activities, and support investigations with actionable insights. This position offers an excellent opportunity to contribute to fraud prevention and detection strategies while working with diverse datasets. Responsibilities: • Analyze large datasets to identify trends, anomalies, and potential fraudulent activities. • Develop and implement fraud detection models and analytics tools. • Collaborate with fraud investigation teams to provide data-driven insights and recommendations. • Monitor and assess data for suspected fraudulent behavior, ensuring timely identification and reporting. • Create detailed reports and visualizations to support anti-fraud initiatives. • Enhance existing fraud prevention strategies through continuous data analysis. • Conduct regular audits of data systems to ensure accuracy and reliability. • Work closely with cross-functional teams to improve fraud detection capabilities. • Maintain and safeguard data integrity throughout all analytical processes.

• Proven experience in data analysis with a focus on fraud detection or investigation. • Strong knowledge of fraud analytics techniques and anti-fraud strategies. • Proficiency in data analysis tools and software, such as SQL, Python, or R. • Ability to identify patterns and anomalies within complex datasets. • Excellent communication skills to present findings and collaborate with teams. • Familiarity with fraud investigation processes and procedures. • Strong problem-solving skills and attention to detail. • Bachelor's degree in a relevant field such as Data Science, Statistics, or Business Analytics.

<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.®</h3> 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. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more. 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 <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s <a href="https://www.roberthalf.com/us/en/terms">Terms of Use</a> and <a href="https://www.roberthalf.com/us/en/privacy">Privacy Notice</a>.

Cincinnati, OH
remote
Temporary
69.35 - 80.3 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cincinnati, Ohio. In this role, you will leverage your expertise to analyze data patterns, identify potential fraudulent activities, and support investigations with actionable insights. This position offers an excellent opportunity to contribute to fraud prevention and detection strategies while working with diverse datasets. Responsibilities: • Analyze large datasets to identify trends, anomalies, and potential fraudulent activities. • Develop and implement fraud detection models and analytics tools. • Collaborate with fraud investigation teams to provide data-driven insights and recommendations. • Monitor and assess data for suspected fraudulent behavior, ensuring timely identification and reporting. • Create detailed reports and visualizations to support anti-fraud initiatives. • Enhance existing fraud prevention strategies through continuous data analysis. • Conduct regular audits of data systems to ensure accuracy and reliability. • Work closely with cross-functional teams to improve fraud detection capabilities. • Maintain and safeguard data integrity throughout all analytical processes.
2026-03-12T00:00:00Z