Business Analyst Insurance​/Reinsurance Data Governance - Hybrid in Farmington, CT

Overview

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℠.

Job Summary Join Arch Reinsurance as a Data Governance Business 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.

Work Location This is a hybrid role based in Farmington, CT, with in-office collaboration every Wednesday.

• As a key member of the Data Strategy team, you will:
  • 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)
    • 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.

• 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 throughout the project lifecycle.
  • Review project deliverables for compliance with governance requirements.
• Operationalize Governance Framework
  • Support the rollout and adoption of data governance processes across business units.
  • Help 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)
    • Master Data Management (MDM) / Reference Data Management (RDM) Platforms
    • Data Quality Platforms
  • Monitor platform usage and performance and support user 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 in reference data across systems.
  • 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 data governance, IT, and business teams.
  • Promote awareness and adoption of governance tools and practices.

• SQL or Querying
  
  Skills:
  
  Basic to intermediate ability to query data for validation and analysis.
• 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.
• 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 and RDM principles and best…