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Business Analyst Insurance/Reinsurance Data Governance - Hybrid or Remote
Remote / Online - Candidates ideally in
Farmington, Hartford County, Connecticut, 06030, USA
Listed on 2025-12-31
Farmington, Hartford County, Connecticut, 06030, USA
Listing for:
Arch Capital Group Ltd.
Full Time, Remote/Work from Home
position Listed on 2025-12-31
Job specializations:
-
IT/Tech
Data Analyst, Data Security
Job Description & How to Apply Below
Overview
Arch Capital Group Ltd. provided pay range. Base pay range: $/yr - $/yr. This is a hybrid role based in Farmington, CT, with in-office collaboration every Wednesday. For exceptional candidates, a fully remote arrangement anywhere in the U.S. is possible, with a preference for East Coast locations. The role is focused on Data Governance and Metadata within the Data Strategy team.
Join Arch Reinsurance as a Data Governance Analyst. This position emphasizes data integrity, governance, and enabling smarter business decisions. The Data Governance and Metadata Analyst should have a strong business analysis and insurance background to support data governance initiatives across the organization.
What You’ll Do- Operationalize Data Governance: embed best practices into project workflows and everyday work to bring the Data Governance and Data Management framework to life.
- Consult on Projects: partner with cross-functional project teams to ensure alignment with enterprise data governance standards.
- Support Governance Technologies: assist in the implementation and maintenance of data catalog, MDM/RDM, and data quality tools such as Collibra, Alation, or equivalent platforms.
- Drive Metadata Excellence: collaborate with stakeholders to maintain accurate and accessible metadata across systems.
- Enable Reference Data Standardization: provide data and business analysis support to harmonize reference data across the enterprise.
- Project Alignment & Consultation: partner with project teams to ensure alignment with Arch’s Data Governance and Data Management framework; provide guidance on data standards, policies, and best practices; review project deliverables for governance compliance.
- Operationalize Governance Framework: support rollout and adoption of data governance processes; embed governance practices into daily operations and project workflows; maintain documentation of governance procedures and data standards.
- Technology Platform Support: assist in the implementation, configuration, and maintenance of data catalog platforms (e.g., Collibra, Alation) and MDM/RDM platforms and data quality platforms; monitor platform usage and support onboarding and training.
- Metadata Management: collaborate with data stewards and owners to capture and maintain metadata; ensure metadata is accurate, complete, and accessible via the data catalog; support metadata enrichment and classification efforts.
- Reference Data Standardization: conduct data analysis and business analysis to support reference data harmonization; identify inconsistencies and gaps; work with stakeholders to define and implement standard reference data values.
- Stakeholder
Collaboration:
engage with business and technical stakeholders to understand data needs and challenges; facilitate communication between governance, IT, and business teams; promote adoption of governance tools and practices.
- Metadata Management: understanding of metadata concepts and experience with data cataloging
- Data Governance Tools: familiarity with platforms for MDM/RDM, data quality, and governance workflows
- Business Analysis: ability to translate business requirements into metadata needs for governance tools and data management initiatives
- Data Analysis: ability to analyze data sets to identify inconsistencies, gaps, data requirements, and opportunities for standardization
- SQL or querying skills: basic to intermediate ability to query data for validation and analysis
- Data Modeling Concepts: understanding of data structures, relationships, and reference data domains
- Governance & Compliance Knowledge
- Data Governance Frameworks: knowledge of governance principles and best practices
- MDM and RDM Management: knowledge of MDM/RDM principles and best practices
- Data Quality Management: experience defining and monitoring data quality rules and metrics
- Regulatory Awareness: familiarity with data-related regulations (GDPR, CCPA) and compliance requirements
- Tool Proficiency: experience with data catalog platforms (e.g., Collibra, Informatica Axon, Alation); data quality platforms (Informatica Data Quality, Talend); reporting platforms (Power
BI); and Office 365, Confluence,…
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