Data Analyst

Job Description

Job Description

We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts.

Responsibilities:
• Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity.
• Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner.
• Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information.
• Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution.
• Review invoice discrepancies and related exceptions to determine root causes and recommend next steps.
• Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring.
• Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.• Experience in data analysis within a financial, risk, compliance, or fraud-focused environment.
• Working knowledge of fraud analytics, fraud investigation practices, and anti-fraud controls.
• Strong ability to research issues, evaluate evidence, and identify meaningful patterns in data.
• Proficiency with Microsoft Excel, including functions used for sorting, reconciling, and analyzing data sets.
• Familiarity with invoice issues, billing discrepancies, or transaction-level exception review.
• Excellent attention to detail with the ability to manage sensitive information accurately and professionally.
• Strong written and verbal communication skills for presenting findings and collaborating with cross-functional teams.