Business Analyst Insurance​/Reinsurance Data Governance - Hybrid or Remote

Business Analyst – Insurance/ Reinsurance Data Governance (Hybrid or Remote)

Arch Capital Group Ltd. provides a competitive pay range of $110,000 to $130,000 per year. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

With a company culture rooted in collaboration, expertise, and innovation, we aim to promote progress and inspire our clients, employees, investors, and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Are you passionate about data integrity, governance, and enabling smarter business decisions? Arch Reinsurance is seeking a Data Governance and Metadata Analyst with a strong business analysis and insurance background to join our dynamic Data Strategy team
—a group dedicated to transforming how data is managed and leveraged across the organization.

This is a hybrid role based in Farmington, CT
, with in-office collaboration every Wednesday. For exceptional candidates, we are also open to a fully remote arrangement anywhere in the U.S., with a strong preference for those located on the East Coast.

• Operationalize Data Governance:
  Help bring our Data Governance and Data Management framework to life by embedding best practices into project workflows and everyday work.
• 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 platforms such as Data Catalog (e.g., Collibra, Alation), Master/Reference Data Management (MDM/RDM), and Data Quality tools.
• 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.

• Partner with project teams to ensure alignment with Arch’s Data Governance and Data Management framework.
• Guide on data standards, policies, and best practices throughout the project lifecycle.
• Review project deliverables for compliance with governance requirements.
• Support the rollout and adoption of data governance processes across business units.
• Embed governance practices into daily operations and project workflows.
• Maintain documentation of governance procedures and data standards.
• Assist in the implementation, configuration, and maintenance of Data Catalog, MDM/RDM, and Data Quality platforms.
• Monitor platform usage and performance and support user onboarding and training.
• Collaborate with data stewards and owners to capture and maintain metadata; ensure it is accurate, complete, and accessible.
• Support metadata enrichment and classification efforts.
• Conduct data analysis and business analysis to support reference data harmonization.
• Identify inconsistencies and gaps in reference data across systems.
• Work with stakeholders to define and implement standard reference data values.
• Engage with business and technical stakeholders to understand data needs and challenges.
• Facilitate communication between data governance, IT, and business teams.
• Promote awareness and 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 understand business requirements and translate that knowledge into metadata for Data 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…