Data Analyst

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.