Data Specialist

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. 

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. 

Role/Responsibilities
As a member of the Publication Operations 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.

Qualifications
* Minimum Bachelor’s degree in Economics, Information Systems, Computer Science or related major, Master’s degree is a plus.
* 3+ years of professional 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 with SQL, NoSQL, Python
* Experience with data streaming technologies (Spark, Kafka, Databricks,)

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.