Metadata Analyst

Job Description Core Responsibilities 1. Metadata Capture & Documentation - Identify and document business terms, processes, and reference data related to data assets. - Capture business and technical metadata in enterprise data catalogs (e.g., Collibra), including definitions, business rules, naming conventions, and classifications. - Maintain metadata as new critical data elements are identified or business rules change. 2. Metadata Quality & Governance - Facilitate alignment among stakeholders to agree on business terms and definitions. - Review and approve metadata according to defined criteria. - Certify metadata to ensure it meets organizational standards. - Establish communication plans to keep stakeholders informed of metadata updates. 3. Data Lineage & Inheritance - Assist with capturing and documenting data lineage (the flow and transformation of data across systems). - Support proof-of-concept initiatives for metadata inheritance workflows, ensuring that metadata properties are propagated correctly across platforms. 4. Data Access & Stewardship - Serve as a Metadata Owner or Approver for catalog entities, maintaining catalog attributes, reviewing access requests, and certifying access. - Ensure only individuals with a business need maintain assigned access permissions during access review and approval tasks. 5. Collaboration & Training - Collaborate with data architects, engineers, business data stewards, and subject matter experts to ensure metadata accurately represents data assets. - Provide training and support to staff on metadata-related topics and tools. 6. Data Profiling & Issue Resolution - Conduct data profiling to uncover anomalies and inconsistencies in metadata. - Monitor and resolve metadata-related issues, contributing to data governance and quality initiatives. 7. Enablement for AI & Analytics - Publish metadata in enterprise data catalogs to improve data usability and enable advanced analytics and AI initiatives. - Activate metadata to monitor real-time usage and support data science and business intelligence efforts. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements - Technical Skills: Data modeling, metadata standards (e.g., Dublin Core, schema.org), metadata management tools (Collibra, Informatica), SQL, Python/R, data visualization platforms. - Soft Skills: Analytical thinking, attention to detail, effective communication, stakeholder alignment, problem-solving. Apply tot his job