Data Governance Analyst

• Microsoft Purview is the governance tool currently in use, but deep Purview expertise is not required. Experience with an equivalent governance tool would be sufficient.
• This is a fully onsite role , requiring attendance 5 days per week .

Key Projects

• The team is heavily involved in an ERP migration initiative.
• Significant focus on data-related work , including:
• Data migration
• Data cleansing
• Data governance

Technical Environment

• Data work is being performed in Microsoft Fabric .
• Candidates with Microsoft Fabric experience will have a strong advantage.
• Governance experience is considered a plus.

Ideal Candidate

• Should have a blend of business and technical knowledge.
• As the team models data within Fabric, some technical expertise is important.
• Preferred candidates will understand:
• Database concepts
• Data modeling
• How databases are structured and created

Qualifications:

• 3+ years experience in data governance, data management, analytics, or related data roles
• Strong understanding of data governance concepts, data quality practices, and meta data management
• Experience partnering with business stakeholders to define and manage data
• Familiarity with data governance tools such as Microsoft Purview or similar platforms preferred
• Strong communication and organizational skills with the ability to clearly document and explain data concepts
• The ability to read and write small letters and numbers; the ability to make arithmetic calculations; and the ability to understand and follow written and oral instructions
• The successful completion of a ninety (90) day orientation period
• The execution of an Employment Agreement
• This role does not require a highly experienced data governance specialist. A solid business analyst with exposure to data governance concepts can be successful
• The individual should be motivated, eager to learn, and interested in growing their career
• Strong communication skills and self-driven work ethic are required
• This role will operate under the guidance of our Data Governance Senior Product Manager

Operational requirements:

• Must be located in the Columbus, Ohio area
• Must be willing to work in-office 5 days per week
• Must be authorized to work in the United States now and in the future without sponsorship. Client will not sponsor
• Interviews will be conducted in person at Columbus office

Accountable for partnering with business stakeholders, including data owners and stewards, to define, govern, and maintain enterprise data glossary terms and key metrics. Advances business-led, governance-supported data practices that ensure data is trusted, consistently defined, and effectively used across the organization. Leads archive and retention policy efforts, advances data sensitivity classification, and ensures data is secured appropriately based on its classification and use. Acts as a role model for data literacy and stewardship, improving data trust and consistency while enabling client to operate as a data-driven organization and serving as a bridge between business and technology.

ESSENTIAL JOB FUNCTIONS

▪ Partners with business stakeholders to define, approve, and maintain data glossary terms and key metrics

▪ Establishes and maintains business glossaries, data definitions, data dictionary, and metadata within governance tools (e.g., Microsoft Purview)

▪ Supports and advances enterprise data governance standards, policies, and best practices

▪ Defines and reinforces data ownership and stewardship responsibilities across business domains

▪ Performs data profiling and supports data quality initiatives, including identifying issues and tracking remediation activities

▪ Contributes to the development and execution of data archive and retention policies

▪ Advances data sensitivity classification and supports appropriate data security practices

▪ Facilitates governance working sessions and cross-functional alignment discussions

▪ Ensures governance standards and definitions are consistently applied across reporting, analytics, and operational use cases

▪ Identifies opportunities to improve data trust, usability, and consistency across systems and teams

▪ Maintains a clear understanding of client's goals and ensures adherence to company policies, standards, and procedures

▪ Performs other duties as assigned by the Data Governance Senior Product Manager or Director of Enterprise Data and Architecture