Let's begin! Data Specialist

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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.

If you are excited about this opportunity but do not meet every single requirement please apply! You still may be a great fit for this role or other open roles. 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

• 2 years of professional Data Operations experience
• Understand all aspects of ETL processes
• Excellent oral/written communication and presentation skills which bring clarity and precision to help management understand and visualize complex material to support organizational decision-making
• Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues processes and requirements regarding managing large data sets
• Willing to learn new technologies capable of self-directed learning.
• Experience writing SQL and/or Python queries is a plus.
• Knowledge and application of AI and agentic AI.

Education

• Minimum Bachelors degree in Economics Finance Information Systems Computer Science or related major or equivalent level Masters degree is a plus.

Responsibilities

• As a member of the Company Data team the Data Specialist will be responsible for taking business information from hundreds of millions of companies through our data pipeline using existing ETL processes.
• Manage the quality of data elements from ingestion to publication
• Work with local information providers to develop knowledge on the availability and publication of local business information for company specific data items
• Define and implement procedures for transforming and publishing data originating from potentially multiple sources globally.
• Improve existing processes and procedures to enhance the speed and accuracy of our updates
• Monitor data quality metrics and perform quality checks report anomalies and work with technology teams to resolve
• Provide and update documentation regarding collection methods internal procedures definitions and meta data
• Support clients and internal stakeholders with data-related requests.
• Integrate in our processes new technologies AI based

About the team

The Company Data division is the commercial data unit of Data Estate department of Moodys Analytics bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis the worlds most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moodys Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing preparing and accessing data adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data and we are proud to be a mission-critical information resource for decision-makers around the world.

Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.