Data Analyst

Description We are looking for a Data Analyst to join a Long-term Contract opportunity based in Memphis, Tennessee. In this role, you will help strengthen the accuracy, consistency, and reliability of customer and operational data across enterprise systems while supporting teams that rely on clean information for daily business activities. This position is well suited for someone who is analytical, highly detail-focused, and comfortable managing request-driven work while contributing to better data practices and long-term process improvements.

Responsibilities:

• Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution.
• Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability.
• Examine source details before making changes and record updates clearly to support auditability and governance standards.
• Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution.
• Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency.
• Help create and refine process documentation and standard operating guidelines that promote consistent data management practices.
• Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders.
• Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly.
• Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems. Requirements
• Experience supporting data entry, record maintenance, reporting, or data quality activities in a structured business environment.
• Strong attention to detail and a consistent approach to maintaining accurate records and documentation.
• Ability to work effectively within a ticket-based or request-driven workflow.
• Intermediate Excel knowledge, including filtering, lookups, and basic data analysis techniques.
• Clear communication skills with the ability to work across technical and non-technical teams.
• Background in data analysis, fraud analytics, fraud investigation, anti-fraud processes, or suspected fraud review is highly valued.
• Familiarity with audit support, compliance practices, process documentation, or standard operating procedures is preferred.

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