Data Governance Analyst

at  Glass Lewis Europe Limited

COMPANY OVERVIEW

Glass Lewis is the world’s choice for governance solutions. We enable institutional investors and publicly-listed companies to make sustainable decisions based in research and data. We cover 30,000+ meetings each year, across approximately 100 global markets.
Our customers include the majority of the world’s largest pension plans, mutual funds, and asset managers, collectively managing over $40 trillion in assets. We have teams located across the United States, Europe, and Asia-Pacific giving us global reach with a local perspective on the important governance issues. Founded in 2003, Glass Lewis is headquartered in San Francisco, California with additional offices in Kansas City, Missouri; Paris, France; Limerick, Ireland; Karlsruhe, Germany; Sydney, Australia; Tokyo, Japan; and Manila, Philippines.

REQUIREMENTS

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
• Strong proficiency in SQL and experience working with large datasets.
• Knowledge of data quality tools and techniques (e.g., data profiling, cleansing, and matching tools).
• Familiarity with data governance principles and practices.
• Experience with scripting languages (Python preferred) for data manipulation and automation.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong documentation and communication skills to interact effectively with technical and business stakeholders.
• Ability to work in a team-oriented, agile environment.
• Experience in financial services or working with financial data is a plus.

• Assist in the creation, maintenance, and improvement of master data management processes.
• Support the implementation of data governance policies, including data quality standards, data lineage, and data access controls.
• Perform data quality checks, profiling, cleansing, and matching tasks to ensure data accuracy and consistency.
• Collaborate with data owners to understand business requirements and ensure proper documentation of master data attributes and business rules.
• Work with the Master Data Manager to monitor and report on key data quality metrics, identifying issues and recommending improvements.
• Assist with the integration of third-party data into the platform, ensuring proper data mapping and transformation.
• Support change management processes for master data, including updates, corrections, and deletions.
• Help maintain relationships with third-party data providers, ensuring compliance with data licensing agreements.
• Contribute to process improvement initiatives and develop tools or scripts (e.g., SQL, Python) to automate data validation and reporting tasks.
• Provide insights and recommendations to improve data governance and master data management practices.