Data Analyst -

Develop and Manage Business Glossary:

• Create and maintain a comprehensive business glossary for critical clinical data terms, ensuring that definitions are clear, accurate, and aligned with organizational standards.
• Regularly update the glossary to reflect changes in data terminology and business requirements.

Link Metadata Repository with Business Glossary:

• Integrate the business glossary with the metadata repository to ensure consistent and accessible data definitions.
• Work with technical teams to ensure seamless linkage between the business glossary and metadata management systems.

Implement Approval Workflows:

• Develop and manage approval workflows for data definitions and glossary entries using AWS DataZone.
• Ensure that all data definitions go through the appropriate review and approval processes before being finalized.

Collaborate with Stakeholders:

• Work closely with data governance, data management, and clinical teams to gather requirements and ensure the business glossary meets their needs.
• Provide training and support to team members on the use of the business glossary and related processes.

Ensure Data Quality and Consistency:

• Monitor and enforce data quality standards across the business glossary and metadata repository.
• Perform regular audits to ensure that data definitions are accurate and up-to-date.

Support Data Governance Initiatives:

• Contribute to data governance initiatives by providing insights and recommendations related to data terminology and definitions.
• Assist in the development of data governance policies and procedures as needed.

Skills & Qualifications:

• Proven experience in developing and managing business glossaries, particularly in the context of clinical or healthcare data.
• Strong knowledge of metadata management practices and tools, with experience in integrating business glossaries with metadata repositories.
• Proficiency in implementing and managing approval workflows using AWS DataZone or similar tools.
• Excellent analytical skills, with a keen attention to detail and the ability to ensure accuracy and consistency in data definitions.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Ability to work independently and manage tasks across different time zones, with a minimum of 4 hours daily overlap with US time zones.