Reference Data Analyst

Job Responsibilities:

• Execute client record setup and ongoing maintenance for new services and existing clients across functional applications, global systems, and legacy platforms.
• Document work activity in work logs to maintain clear tracking of assigned tasks and outcomes.
• Update client information accurately and promptly in the relevant systems.
• Prioritize and coordinate day-to-day workflow requests from implementation partners and internal departments.
• Apply required controls to ensure work is completed within established timeframes and quality standards.
• Communicate with lines of business and internal clients by phone or email, including senior stakeholders when needed.
• Resolve mailbox queries and address client issues with appropriate urgency.
• Investigate exceptions, including transaction-level and aging-related items, and escalate issues as appropriate.
• Produce management information reports with accurate and complete data.
• Coach and guide other team members through training and education on team procedures and job functions.
• Identify required backup production tasks and suggest improvements to current work practices.
• Required qualifications, skills, and capabilities:
• Hold a graduate degree.
• Bring 5+ years of experience in reference data.
• Demonstrate strong interpersonal skills and contribute effectively as a team player.
• Communicate clearly with internal clients via telephone and email, including senior stakeholders.
• Take ownership of issues through proactive problem solving and timely escalation when appropriate.
• Use strong analytical skills to investigate exceptions and validate data accuracy and completeness.
• Leverage Microsoft Access, Excel, PowerPoint, and Word to support reporting and operational tasks.
• Work with minimal supervision and show initiative to identify tasks and drive them to completion.
• Follow established timeframes, controls, and productivity targets while managing competing requests.
• Preferred qualifications, skills, and capabilities:
• Build working knowledge of international payment processing operations.
• Apply working knowledge of SWIFT and international payment conventions and practices.
• Utilize low-code automation tools (for example, Alteryx, UiPath, Pega), SQL queries, or Python for process improvement.
• Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.