Data Risk Analyst (contract)

Title: Data Risk Analyst

Location: Charlotte, NC

Duration: 9 months

Work Engagement: W2

Work Schedule: Hybrid (1-2 months on site training, then hybrid schedule)

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Participate in low to moderately complex initiatives and identify opportunity for process improvements within Business Execution. Review and analyze basic or tactical Business Execution assignments or challenges that require research, evaluation, and selection of alternatives, related to low-to-medium risk deliverables. Present recommendations for resolving low to moderately complex situations and exercise some independent judgment while developing understanding of function, policies, procedures, and compliance requirements. Provide information to client personnel in Business Execution. education.

Key Responsibilities:

• Rapidly learn and apply internal processes and procedures with minimal supervision.
• Analyze complex datasets to identify trends, anomalies, and actionable insights.
• Review and manage a large caseload with accuracy and timeliness.
• Reviewing customer transactions
• Utilize advanced Excel skills to support data analysis, reporting, and workflow optimization.
• Apply knowledge of risk management and AML frameworks to ensure compliance and mitigate exposure.

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Demonstrated experience in risk, compliance, or AML-related roles.
• Proficiency in Microsoft Excel, including pivot tables, formulas, and data visualization.
• Experience with large data sets and reviewing customer transactions
• Strong analytical and organizational skills.
• Ability to work independently in a fast-paced, high-volume environment.
• Excellent communication and collaboration skills.
• Experience with wires and/or Zelle is a plus