Job Description

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.

Gain an in-depth understanding on the availability and publication of key data domains for entities: firmographics, financial statements, directors/managers, and shareholder structures

Work with stakeholders within Data Operations, Technology, and Product to develop new features to help our customers making better decisions based on the underlying data.

Define and implement procedures for transforming and publishing data points 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 internal procedures, definitions and meta data

Support clients and internal stakeholders with data-related requests.

Lead a growing team of Data Specialists, fostering a collaborative and high-performance culture

 

Qualifications

Minimum Bachelor’s degree in Economics, Finance, Information Systems, Computer Science or related major, Master’s degree is a plus.
3 to 5+ years of professional Data Operations 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.
Proven working experience writing SQL and/or Python queries
This position requires the individual to be available to provide periodic evening and weekend on call support in line with business needs