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

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

Arch Capital Group Ltd. provides a pay range of $/yr – $/yr.

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.
We Enable Possibility℠.

Join Arch Reinsurance as a Data Governance Analyst! 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.

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

• Operationalize Data Governance:
  Embed 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; provide guidance on data standards, policies, and best practices; review deliverables for compliance.
• Support rollout and adoption of governance processes across business units.
• Assist in the implementation, configuration, and maintenance of Data Catalog, MDM/RDM, and Data Quality platforms.
• Collaborate with data stewards to capture and maintain metadata; ensure accuracy and accessibility.
• Conduct data analysis to support reference data harmonization; identify inconsistencies and gaps; define and implement standard reference data values.
• Engage stakeholders; facilitate communication between data governance, IT, and business teams; promote tools and practices adoption.

• Metadata Management:
  Knowledge of metadata concepts and data cataloging.
• Data Governance Tools:
  Experience with MDM/RDM, data quality, and governance workflows.
• Business Analysis:
  Translate business requirements into metadata for tools and initiatives.
• Data Analysis:
  Analyze datasets for inconsistencies, gaps, and standardization opportunities.
• SQL or Querying
  
  Skills:
  
  Basic to intermediate querying ability.
• Data Modeling:
  Understanding of data structures, relationships, and reference data domains.
• Governance & Compliance:
  Knowledge of GDPR, CCPA, and other regulations.
• Data Governance Frameworks:
  Familiarity with principles and best practices.
• MDM/RDM Management:
  Principles and best practices.
• Data Quality Management:
  Define and monitor data quality rules and metrics.
• Tool Proficiency:
  Collibra, Informatica Axon, Alation, Informatica Data Quality, Talend, Power
  
  BI, Office 365, Confluence, Visio, Lucid.
• Detail‑Oriented, Problem‑Solving, Adaptability.

• Bachelor’s degree in Computer Science, Management Information Systems, or related field.
• Minimum 2 years experience in Data Governance, Metadata Management, Data Quality, MDM, and Data Stewardship.
• Minimum 5 years experience applying technical and business skills to data analysis and metadata; 5 years in Insurance/Reinsurance industry.
• Experience with cloud‑based applications, system testing, and IT security principles.

Mid‑Senior level

Full‑time

Research, Analyst, and Information Technology

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