We are looking for a detail-oriented Data Analyst to support fraud detection and investigative efforts in South Haven, Minnesota. This Long-term Contract position focuses on examining data patterns, identifying suspicious activity, and delivering insights that strengthen anti-fraud strategies. The ideal candidate is comfortable working with large datasets, translating findings into clear recommendations, and partnering with teams that protect business operations from financial risk. Responsibilities: • Analyze transactional and operational data to uncover unusual behavior, emerging fraud trends, and potential risk indicators. • Investigate suspicious activity by reviewing datasets, validating anomalies, and organizing findings for follow-up action. • Develop reports and dashboards that help stakeholders monitor fraud patterns and measure the effectiveness of prevention efforts. • Collaborate with cross-functional partners to interpret analytical results and support fraud mitigation decisions. • Use data-driven methods to identify weaknesses in current controls and recommend improvements that reduce exposure. • Maintain accurate documentation of analyses, case findings, and supporting evidence to assist ongoing investigations. • Monitor key fraud metrics and highlight changes that may require deeper review or immediate escalation.

• Experience working in data analysis roles with a focus on fraud, risk, or investigative environments. • Practical knowledge of fraud analytics, suspected fraud review, and anti-fraud principles. • Ability to assess large datasets, detect irregular patterns, and draw well-supported conclusions. • Familiarity with fraud investigation processes and documenting findings in a clear, organized manner. • Strong analytical thinking with the ability to communicate insights to technical and non-technical audiences. • Proficiency in using data tools and reporting methods to support ongoing analysis and monitoring.

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>.

South Haven, MN
onsite
Temporary / Contract
22 - 27 USD / Hourly
We are looking for a detail-oriented Data Analyst to support fraud detection and investigative efforts in South Haven, Minnesota. This Long-term Contract position focuses on examining data patterns, identifying suspicious activity, and delivering insights that strengthen anti-fraud strategies. The ideal candidate is comfortable working with large datasets, translating findings into clear recommendations, and partnering with teams that protect business operations from financial risk. Responsibilities: • Analyze transactional and operational data to uncover unusual behavior, emerging fraud trends, and potential risk indicators. • Investigate suspicious activity by reviewing datasets, validating anomalies, and organizing findings for follow-up action. • Develop reports and dashboards that help stakeholders monitor fraud patterns and measure the effectiveness of prevention efforts. • Collaborate with cross-functional partners to interpret analytical results and support fraud mitigation decisions. • Use data-driven methods to identify weaknesses in current controls and recommend improvements that reduce exposure. • Maintain accurate documentation of analyses, case findings, and supporting evidence to assist ongoing investigations. • Monitor key fraud metrics and highlight changes that may require deeper review or immediate escalation.
2026-07-09T00:00:00Z