Senior Data Specialist

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Senior Data Specialist Salford, United Kingdom Apply now Save job Posted 07/02/2026 Job reference 13498 Experience level Experienced Hire Job category Engineering & Technology Line of business Data Estate 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. 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.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 Competencies1–3 years’ experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasetsStrong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational useHands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflowsUnderstanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline developmentExperience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasetsStrong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputsFamiliarity with data platforms such as Databricks, Spark, Snowflake, or similar technologiesAbility to communicate technical concepts clearly to non‑technical stakeholdersBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiencyInterest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical useEducationBachelor’s degree in Computer Science, Data Science, Information Systems, or a related fieldResponsibilitiesSupport 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 datasetsDesign and implement data deduplication frameworks to improve data accuracy and usabilityAnalyze and optimize data operations workflows, identifying automation opportunities to increase efficiencyCollaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needsSupport stakeholders by delivering data insights and responding to data-related queriesContribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalabilityMaintain best practices in data...