Job Description

A Mid-level (3-8 years) Data Governance/Data Analyst with recent experience working in Banking and/or very large insurance companies. THE IDEAL CANDIDATE WILL BE 5-6 YEARS and A HUGE BANK) This role will be instrumental in supporting our data governance initiatives, starting with Finance and expanding across other business units. The ideal candidate will bring experience in data mapping, lineage, and documentation, and will be comfortable engaging stakeholders across departments such as underwriting, claims, compliance, and finance.

Job Description:

We are seeking a detail-oriented and collaborative Data Governance Data Analyst to join our team on a long-term, fully remote contract basis. This role will be instrumental in supporting our data governance initiatives, starting with Finance and expanding across other business units. The ideal candidate will bring experience in data mapping, lineage, and documentation, and will be comfortable engaging stakeholders across departments such as underwriting, claims, compliance, and finance.

Key Responsibilities:

• System & Data Inventory:
  Identify and document data sources, systems, reports, and integrations, starting with Finance and extending to other business domains.
• Data Mapping & Lineage:
  Trace data flow across systems, capture metadata (e.g., field names, frequency, direction), and support creation of data lineage diagrams.
• Process & Requirements Gathering:
  Schedule, facilitate, and document meetings with stakeholders to capture business requirements, data definitions, usage contexts, and pain points.
• Reference & Master Data Cataloging:
  Record and maintain a catalog of critical master and reference data elements such as policy, customer, product, and broker entities, including ownership and stewardship details.
• Documentation:
  Maintain clear and organized data documentation using tools like Confluence or similar platforms. Summarize findings and prepare draft deliverables for review.
• Support Strategic Roadmap:
  Contribute to data governance strategy by gathering inputs for gap analysis and proposing solutions or improvement opportunities.
• Tool Evaluation Support:
  Research and evaluate data governance tools (cataloging, data quality, integration, etc.) and summarize fit/gap analysis against business requirements.

Qualifications:

• 3 7 years of professional experience in a data analyst or data governance-related role
• Familiarity with data management principles, data lineage, metadata management, and reference/master data concepts
• Strong documentation and communication skills, including meeting facilitation and note-taking
• Experience gathering business and data requirements from cross-functional teams
• Experience in financial services, insurance, or other regulated industries strongly preferred
• Ability to work independently and manage multiple priorities in a remote work environment
• Proficiency in documentation tools (e.g., Confluence, Excel, Lucidchart, etc.)

Preferred Skills:

• Exposure to data governance frameworks (e.g., DAMA-DMBOK)
• Experience with data catalog or data quality tools (e.g., Collibra, Alation, Informatica, etc.)
• Familiarity with SQL or basic data profiling tools a plus

• System & Data Inventory: Document source systems, databases, reports, and integrations across business units - starting with Finance
• Data Mapping & Lineage: Trace how data flows between systems (what fields, frequency, direction), produce metadata for lineage diagrams
• Process & Requirements Gathering: arrange and minute meetings with business stakeholders (underwriting, claims, finance, compliance) to capture data requirements, definitions, and pain points
• Ref & Master Data Cataloging: record critical reference/master data elements (e.g., policy, customer, product, broker) and their owners
• Documentation: Maintain data documentation (Confluence pages?) and trackers to summarize findings; prepare draft deliverables for review
• Support for Roadmap: Assemble gap analysis inputs and options to feed into strategic recommendations

Tooling Evaluation Support: Research candidate tools (catalog, quality, integration) and summarize fit against requirements

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