At a Glance
- Tasks: Support and enhance data quality, manage large datasets, and collaborate on innovative data solutions.
- Company: Join Moody's, a global leader in risk assessment and AI transformation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic team focused on delivering high-quality data solutions across industries.
- Why this job: Make an impact by turning complex data into actionable insights for global clients.
- Qualifications: Experience in data operations, strong SQL and Python skills, and a passion for AI.
The predicted salary is between 45000 - 55000 £ per year.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling 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.
- 1–3 years’ experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets
- Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use
- Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows
- Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development
- Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets
- Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs
- Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets. Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data-related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization.
Our Data Estate team is responsible for delivering high-quality, mission-critical data that powers decision-making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries.
