Financial Data Analyst

Skills and Competencies

1-3 years of relevant experience in banking, insurance, financial services, accounting, financial analysis, or financial data management

Strong analytical, problem-solving, and critical-thinking skills, with excellent attention to detail and commitment to data accuracy

Strong written and verbal communication skills, including the ability to explain complex financial concepts clearly to both technical and non-technical audiences

Advanced Microsoft Excel skills and proficiency with Microsoft Office applications

Ability to manage multiple priorities, work independently in a fast-paced environment, and demonstrate initiative, adaptability, and a desire to learn

Experience analyzing bank or insurance company financial statements and knowledge of banking regulations and financial reporting practices (preferred)

Working knowledge of SQL, data quality management tools, and structured data feeds (preferred)

Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

Bachelor's degree in Accounting, Finance, Economics, Data Analytics, or a related quantitative discipline

Responsibilities

• Analyzes, validates, and maintains financial data for Moody's Analytics BankFocus and InsuranceFocus products while delivering high-quality support to internal and external stakeholders.
• Analyze, review, validate, and maintain bank and insurance financial data using sound financial and accounting principles
• Investigate and resolve data discrepancies, anomalies, and client-reported issues in a timely and thorough manner
• Serve as a primary point of contact for inquiries related to financial content, data coverage, methodologies, and product functionality
• Explain financial spreading methodologies, data collection processes, and product features clearly to clients and internal stakeholders
• Support structured feed ingestion, validation, and monitoring for assigned coverage areas, executing data quality controls and remediation activities
• Collaborate with Product, Engineering, Modeling, Research, and Data Operations teams to improve data quality, coverage, and the overall client experience
• Identify opportunities for process optimization, automation, and operational efficiency, and contribute to new data sources and workflow enhancements
• Use data and technology tools, including artificial intelligence-enabled solutions, to improve productivity, drive innovation, and promote continuous learning and operational excellence

About the Team

Our Data Estate Credit & Financials team is responsible for supporting the quality, coverage, and usability of bank and insurance financial data across Moody's Analytics. We partner closely with Product, Engineering, Modeling, Research, and Data Operations to resolve data issues, address client needs, improve processes, and continuously introduce new data sources and workflow enhancements. By joining our team, you will be part of exciting work in global banking and insurance financial data, data quality and governance, financial statement analysis, client support, data automation, artificial intelligence-enabled solutions, and the ongoing enhancement of Moody's Analytics Bank Focus and Insurance Focus products