Mgr-Analytic Data Operations

Moody

New York (NY)

On-site

USD 113,000 - 164,000

Full time

28 hours ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Parental leave
Paid time off
401(k) plan with company contribution
Life insurance
Disability insurance
Employee stock purchase plan
Tuition reimbursement

Job summary

Moody's is seeking a Mgr-Analytic Data Operations to drive standardized financial data processes and governance. The role partners with analysts, accounting specialists, and technology teams to apply AI tools, deliver training, and enhance data quality across Moody's ratings and research.

This is a US-based, full-time position with a base salary range and comprehensive benefits. You will lead initiatives to optimize data workflows, develop documentation, and support onboarding and upskilling

Qualifications

  • 5–6 years in accounting, finance, financial statement analysis, or financial data operations
  • Strong understanding of accounting principles and financial statements
  • Proactive with analytical, problem-solving, and communication skills
  • Ability to collaborate across teams and support analysts
  • Experience creating process docs and training materials
  • Proficiency in Excel, Word, PowerPoint; familiarity with BI/analytics tools

Responsibilities

  • Deliver high-quality analytic data, guidance, and knowledge management support
  • Drive standardization and optimization of financial data processes
  • Resolve data, accounting, and process queries from analysts and outsourcing teams
  • Develop and maintain documentation, training materials, procedures, and governance resources
  • Design and deliver training programs and onboarding/upskilling initiatives
  • Collaborate with Accounting Specialists, analysts, and tech teams to implement updates
  • Monitor data quality, identify trends, and recommend improvements
  • Apply AI tools to streamline workflows and ensure responsible AI use

Skills

Experience in finance/data ops
Accounting principles
Analytical skills
Cross-functional collaboration
Documentation & training
Excel/Office suite
AI tools and ethics

Education

Master's in Accounting/Finance/Business or related
CFA/CPA/CA/MBA in Finance desirable

Tools

Power BI
Power Automate
SQL
Python

Job description

Let's begin! Mgr-Analytic Data Operations (15325)

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.

We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

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 hands-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.

For US-based roles only: the anticipated hiring base salary range for this position is$113,200.00-$164,050.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

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.

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