Mgr-Analytic Data Operations

About the role

The Analytic Data Operations team ensures the accuracy, consistency and timeliness of data used in Moody's ratings and research, supporting analytical workflows through standardized processes, training and governance. This manager-level role delivers analytic data, guidance and knowledge management support to keep ratings and research processes efficient and consistent.

Key responsibilities

• Deliver high-quality analytic data, guidance and knowledge management support to enable efficient and consistent ratings and research processes.
• Determine and drive initiatives to standardize, optimize and improve financial data processes.
• Resolve financial data, accounting and process-related queries from Financial Data Analysts and outsourcing teams.
• Develop and maintain documentation, training materials, operating procedures and governance resources.
• Design and deliver training programs and support onboarding and upskilling initiatives.
• Collaborate with Accounting Specialists, analysts and technology teams to implement process updates and enhancements.
• Monitor data quality, identify trends and recommend improvements to strengthen operational effectiveness.
• Represent the Knowledge Management function in cross-functional projects and enterprise-wide initiatives.
• Apply artificial intelligence tools to streamline workflows and enhance operational efficiency, with a commitment to responsible and ethical AI use.

Required profile

• 5-6 years of experience in accounting, finance, financial statement analysis or financial data operations.
• Master's degree in Accounting, Finance, Business or a related field required.
• CFA, CPA, CA or MBA in Finance is desirable.
• Proven ability to implement AI-powered solutions and hands-on experience using AI tools to streamline workflows.

Required skills

• Strong understanding of accounting principles, financial statements and financial analysis.
• Proficiency in Microsoft Excel, Word and PowerPoint.
• Familiarity with Power BI, Power Automate, SQL, Python or data analytics tools preferred.
• Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.