Moody's Corporation
Senior Data Specialist
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Senior Data Specialist
Data Operations and Analytics Specialist
At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We foster an inclusive environment where everyone feels valued, encouraging innovative thinking, collaboration, and meaningful engagement with colleagues and clients. Moody’s is reshaping the understanding of risk by leveraging AI to transform insights into action—providing intelligence that not only comprehends complexity but responds effectively. We decode risk to create opportunities, equipping clients with clarity, speed, and confidence when navigating uncertainty.
If you’re excited by this opportunity and don’t meet every requirement, we encourage you to apply. You may still be an excellent fit for this role—or another opportunity. We’re seeking candidates who embody our values: building meaningful relationships, leading with curiosity, championing diversity, turning insights into action, and upholding trust through integrity.
Skills and Competencies
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Experiences (1–3 years):
- Data operations, data management, analytics, or automation to efficiently handle and transform large datasets
- Support for scalable data workflows through hands-on work
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Technical Proficiencies and Familiarity:
- Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) for extracting, transforming, and optimizing data
- Python experience (Pandas, NumPy) for data manipulation and analysis
- Understands data architecture, data modeling, and ETL processes for seamless integration and pipeline development
- Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets
- Familiarity with data platforms such as Databricks, Spark, or Snowflake
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Soft Skills:
- Strong communication and problem-solving abilities
- Ability to collaborate globally and translate complex data insights into actionable solutions
- Skill to communicate technical concepts effectively to non-technical stakeholders
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AI and Ethical Considerations:
- Basic understanding of artificial intelligence concepts
- Interest and curiosity in exploring AI tools and improving processes for efficiency
- Willingness to develop awareness of responsible AI practices, including risk management and ethical use
Education
Bachelor’s degree in:
- Computer Science
- Data Science
- Information Systems
- A related field
Responsibilities
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Data Quality and Operations:
- Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery
- Develop and execute processes to monitor, manage, and improve the data quality of datasets
- Design and implement data dataset deduplication frameworks to improve accuracy and usability
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Data Process Optimization:
- Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency
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Team Collaboration:
- Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs
- Contribute to data insights and swiftly respond to data-related queries from stakeholders
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Platform Enhancement:
- Support the development and maintenance of enterprise data platforms, ensuring integrity and scalability
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Data Governance:
- Maintain best practices in data governance, data modeling, and pipeline optimization
About the Team
Our Data Estate team delivers high-quality, mission-critical data that drives decision-making globally. We empower clients through platforms such as Orbis, enabling them to access, analyze, and act on complex datasets with ease. We continuously drive improvements in data quality, accessibility, and operational effectiveness.
Joining us means contributing to cutting-edge data solutions that make an impact across industries worldwide.
Key Values
Moody’s is an equal opportunity employer. All qualified applicants are considered 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.
Security Policy Note:
Candidates may be required to disclose securities holdings as part of Moody’s Policy for Securities Trading and associated role requirements. Employment is contingent on compliance with the policy.
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