Let's begin! Senior 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

• 13 years of experience in data operations data management data analytics automation or a related role
• Proficiency in SQL including writing and optimizing queries for data extraction transformation and reporting across relational databases such as PostgreSQL MySQL
• Strong Python skills for data manipulation with hands-on experience using Pandas and NumPy and familiarity with analytics or visualization libraries
• Understanding of data architectures data modeling concepts ETL processes and data integration technologies
• Experience applying data quality frameworks and best practices to ensure accuracy consistency and completeness of data
• Strong problem-solving and critical-thinking skills with the ability to analyze and manage large datasets
• Excellent communication and interpersonal skills with the ability to collaborate effectively across global teams and explain complex topics clearly
• English proficiency at B2 level or higher
• Experience with Spark and PySpark for distributed data processing and scalable ETL workflows
• Presentation and data visualization experience using tools such as Power BI Tableau QlikView or equivalent platforms
• Familiarity with Databricks for collaborative data engineering and analytics
• Knowledge of entity resolution deduplication and data matching techniques
• Exposure to Generative AI tools or frameworks for data enrichment or automation use cases
• Demonstrated proficiency in artificial intelligence concepts with hands-on experience using AI tools to streamline workflows and enhance operational efficiency.
• Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
  Education
• Bachelors degree in Information Systems Computer Science Data Engineering Data Science Software Development or a related field
  Responsibilities
• This role is responsible for supporting and enhancing data quality operational efficiency and data-driven decision-making across Moodys Analytics by working closely with cross-functional teams and stakeholders.
• Develop execute and maintain processes to monitor and continuously improve data quality across multiple data sources
• Design and contribute to data deduplication and data matching frameworks to improve data integrity
• Analyze existing data operations workflows and identify opportunities to improve efficiency through automation and process optimization
• Collaborate closely with Sales Content Product Strategy and Technology teams to understand business requirements and optimize data pipelines and architecture
• Support internal and external stakeholders by responding to data-related requests and providing timely insights
• Contribute to the ongoing evolution of the data estate including Orbis and other flagship products by ensuring high standards of data integrity and operational excellence
  About the Team
  The Data Estate team is part of the commercial data business within Moodys Analytics and is best known for Orbis the worlds most comprehensive database of public and private companies. The team provides mission-critical data to decision-makers around the globe removing the complexity of sourcing and preparing data while delivering added value through insight quality and accessibility.

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.