Mgr-Analytic Data Operations

Moody's Corporation; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Moody's Corporation in Bengaluru seeks a Senior Analyst for Analytic Data Operations to deliver high-quality data, training, and governance support. You will standardize processes, resolve data queries, and collaborate with analysts and tech teams to implement improvements.

You will apply AI tools to streamline workflows, strengthen data quality, and contribute to enterprise knowledge management initiatives within a fast-paced ratings and research environment.

Qualifications

• 5-6 years of relevant experience in accounting, finance, or data operations.
• Strong understanding of accounting principles and financial analysis.
• Proactive with strong analytical, problem-solving and communication skills.
• Ability to collaborate across teams and support analysts.
• Experience creating process docs, training materials, knowledge resources.
• Hands-on with AI tools to streamline workflows and aware of AI risk.

Responsibilities

• Deliver high-quality analytic data, guidance, and knowledge management support.
• Standardize, optimize, and improve financial data processes.
• Resolve queries from Financial Data Analysts and outsourcing teams.
• Develop and maintain documentation, training materials, procedures, and governance resources.
• Design and deliver training programs; support onboarding and upskilling.
• Collaborate with Accounting Specialists, analysts, and technology teams to implement updates and improvements.
• Monitor data quality, identify trends, and recommend improvements.
• Represent the Knowledge Management function in cross-functional projects.
• Apply AI tools to streamline workflows and enhance operational efficiency, with responsible AI use.

Skills

Accounting/Finance experience

Financial statement analysis

Analytical thinking

Communication skills

Cross-functional collaboration

Process documentation

Excel proficiency

Power BI familiarity

SQL/Python familiarity

AI awareness

Education

Master's degree in Accounting/Finance/Business

CFA/CPA/CA or MBA in Finance desirable

Tools

Power BI

Power Automate

SQL

Python

Job description

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are- with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action- enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills And Competencies

• 5-6 years of experience in accounting, finance, financial statement analysis, or financial data operations
• Strong understanding of accounting principles, financial statements, and financial analysis
• Proactive attitude with strong analytical, problem-solving, and communication skills
• Ability to collaborate across teams and effectively support analysts and operational stakeholders
• Experience developing and maintaining process documentation, training materials, and knowledge management resources
• Proficiency in Microsoft Excel, Word, and PowerPoint; familiarity with Power BI, Power Automate, SQL, Python, or data analytics tools preferred
• Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment
• Demonstrated proficiency in artificial intelligence concepts, with hand-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

• Master's degree in Accounting, Finance, Business, or a related field required
• Advanced credentials such as CFA, CPA, CA, or MBA in Finance are desirable

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, while demonstrating growing awareness of responsible and ethical AI use

About The Team

Our Analytic Data Operations team is responsible for ensuring the accuracy, consistency, and timeliness of data used in Moody's ratings and research. We contribute to Moody's by enhancing data quality and consistency across global teams, supporting analytical workflows through standardized processes, training, and governance, and driving innovation in knowledge management, process improvement, automation, and AI adoption.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.