Data Specialist

Data Solutions

The Data Solutions division is the commercial data business of Moody’s Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

Role/Responsibilities

As a member of the Publication Operations team, the Data Specialist will be responsible for taking business information from hundreds of millions of companies through our data pipeline using existing ETL processes.

• Manage the quality of data elements from ingestion to publication
• Work with local information providers to develop knowledge on the availability and publication of local business information for company specific data items.
• Define and implement procedures for transforming and publishing data originating from potentially multiple sources globally.
• Improve existing processes and procedures to enhance the speed and accuracy of our updates
• Monitor data quality metrics and perform quality checks, report anomalies and work with technology teams to resolve.
• Provide and update documentation regarding collection methods, internal procedures, definitions and meta data.
• Support clients and internal stakeholders with data-related requests.

Qualifications

• Minimum Bachelor’s degree in Economics, Information Systems, Computer Science or related major, Master’s degree is a plus.
• 3+ years of professional experience
• Understand all aspects of ETL processes
• Excellent oral/written communication and presentation skills which bring clarity and precision to help management understand and visualize complex material to support organizational decision-making
• Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues, processes, and requirements regarding managing large data sets
• Willing to learn new technologies, capable of self-directed learning.
• Experience with SQL, NoSQL, Python
• Experience with data streaming technologies (Spark, Kafka, Databricks,)