Business Analyst Data Governance - Hybrid in Farmington

Position: Business Analyst - (Data Governance) - Hybrid in Farmington
.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℠.
** The Company
** This is a hybrid, once-a-week, hybrid (Wednesdays) role in Farmington, CT.
** What You’ll Do
** 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.
** Job Responsibilities
**** 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.
** Required Skills
*** 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 Management:  Knowledge of MDM and RDM principles and best practices
* Data Quality Management:
Experience defining and monitoring data quality rules and metrics.
* Regulatory Awareness:
Familiarity with data-related regulations (e.g., GDPR, CCPA) and compliance requirements.
* Tool Proficiency
* Data Catalog Platforms:

Experience with tools like…