Moody's is seeking an experienced Data Modelling Specialist to manage data models through their data pipeline. The role involves deep understanding of key data domains, documentation, stakeholder coordination, and governance of data model operations in the Data Solutions department.
This role focuses on managing publication operations' data model lifecycle, including understanding entity data domains like firmographics, financial statements, directors/managers, and shareholder structures. Key responsibilities include documenting data dictionaries, coordinating logical data model information, gathering business requirements, and designing/maintaining data models following governance workflows.
The ideal candidate must have a Bachelor's or Master's degree in Economics, Finance, Information Systems, or Computer Science, with 5-7+ years of professional data operations experience. Mandatory skills include expertise with data modeling tools like Hackolade and ERwin, understanding ETL processes, excellent communication skills, problem-solving abilities, and willingness to learn new technologies. Technical proficiencies in SQL, Python, SQL Server Architecture, and NoSQL frameworks are crucial.
Moody's offers an opportunity to work with Orbis, the world's most comprehensive private company database, in a global leader of financial analytics. The role promises impact on revenue growth, enables data-driven decision-making, and provides exposure to innovative LLM-powered insights. Candidates can expect a diverse, inclusive environment passionate about technological innovation and transforming businesses worldwide.
