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Data Management Analyst
2 months ago
About Moody's Investors Service
Moody's Investors Service is a leading provider of credit ratings, research, and risk analysis. Our Data Solutions division is a commercial data business that brings together a vast catalogue of data to help business decision-makers assess risks and opportunities.
Role/Responsibilities
As the Associate Data Management Analyst, you will play a critical role in supporting our Data Management initiatives. You will be responsible for assisting in the maintenance of data quality, integrity, and accuracy across our flagship product Orbis.
Key Responsibilities include:
- Data Quality Control: Conduct pre- and post-publication reviews of documents to ensure adherence to style guidelines and quality.
- Data Management: Create and manage document files in content management system.
- Project Support: Help develop project plans and ensure timely completion.
- Issue Escalation: Proactively identify and escalate publishing issues as necessary.
- Process Improvement: Recommend and implement process improvements to increase efficiency.
Qualifications
- Education: Minimum Bachelor's degree in Information Systems, Computer Science, Data Management, Economics, Finance, or related major. A Master's degree is a plus.
- Experience: 1-3 years working experience with proven experience in data quality, data management, and specifically in Master Data Management, with proven experience in leading data quality projects.
- Skills: Exceptional attention to detail in working with and reviewing written content. Excellent written and verbal communication, presentation, and administrative management skills. Ability to understand and quickly adapt to new processes and changing needs.
- Technical Skills: Highly proficient in MS Word, Excel, and PowerPoint; familiarity with publishing content management systems is a plus. Familiarity with current Data Management tools and platforms. Knowledge of data governance frameworks, data management best practices, and industry standards.
- Additional Requirements: Experience with SQL, Python; knowledge of data streaming technologies is a plus.