Data Specialist: Risk Analytics & Database Steward

Moody's Corporation; Newark (AR); On-site; USD 65,000 - 95,000; Full time

Job summary

Moody's Corporation seeks a Data Solutions professional to maintain, enrich, and document ownership data and support clients with data inquiries. You will help expand data offerings by researching new sources, improving processes, and ensuring data accuracy and speed.

The role emphasizes collaboration with internal teams and providing clear data definitions and procedures. Join a team powering financial intelligence with high standards for data integrity and client service, and contribute to

Qualifications

• Excellent analytical skills with attention to detail for maintaining complex databases.
• Business fluent English, written and verbal; additional languages a plus.
• Proven ability to support internal and external clients with data-related inquiries.
• Continuous improvement mindset to enhance processes and procedures.
• Strong documentation skills for internal procedures and data definitions.

Responsibilities

• Maintains, enriches, and documents ownership databases, while supporting clients for data inquiries.
• Update historical ownership databases with timeliness and accuracy.
• Respond to client inquiries and assist in accessing and understanding data.
• Identify and implement improvements to data speed and accuracy.
• Research and integrate new data sources to expand data offerings.
• Create and maintain high-quality internal documentation and data definitions.

Skills

Analytical skills

English fluency

Data-related client support

Process improvement

Documentation

Education

Undergraduate or advanced degree in economics, finance, statistics

2-4 years relevant work experience

Job description

Moody's Corporation seeks a Data Solutions professional to maintain, enrich, and document ownership data and support clients with data inquiries. You will help expand data offerings by researching new sources, improving processes, and ensuring data accuracy and speed.

The role emphasizes collaboration with internal teams and providing clear data definitions and procedures. Join a team powering financial intelligence with high standards for data integrity and client service, and contribute to