Data Analyst

Dexian is actively seeking a highly analytical and detail-oriented Data Analyst to join the Credit Operations team for our global financial services and investment research client. This role is perfect for professionals with 1-2 years of experience who are ready to contribute to critical financial operations and data management. As a Data Analyst in Credit Operations, you will play a vital role in ensuring data accuracy, supporting financial reporting, and maintaining robust documentation.

Key Responsibilities

• Perform comprehensive financial data validation, ensuring accuracy and integrity.
• Generate and analyze various reports related to credit operations and financial performance.
• Conduct thorough reconciliations of financial data to identify discrepancies and ensure consistency.
• Maintain meticulous documentation for all credit operations processes and transactions.
• Support the Credit Operations team with ad-hoc analysis and data-driven insights.
• Collaborate with cross-functional teams to improve data quality and reporting efficiency.

Requirements

• Graduate or Postgraduate degree in B.Com, BBA, BMS, M.Com, MBA (Finance), or an equivalent field.
• 1-2 years of proven experience in Finance, Accounting, Financial Operations, or Data Management.
• Strong understanding of fundamental accounting principles and financial statements.
• Proficiency in MS Excel, MS Word, and MS Outlook is essential.
• Demonstrated experience in financial data validation, reporting, reconciliation, and documentation.
• Exceptional analytical skills, meticulous attention to detail, and strong communication abilities.
• Background in Accounts Payable/Receivable, P2P, R2R, O2C, Finance Operations, MIS Reporting, or Credit Operations is preferred.

What We Offer

• An opportunity to work with a global financial services and investment research client.
• Engage in challenging and impactful work within Credit Operations.
• A professional work environment with a focus on skill development.
• Regular working hours from 11:00 AM - 8:00 PM, Monday to Friday.
• Exposure to diverse financial data management practices.