Identity Data and Data Management Analyst I

University of Florida•Gainesville, FL

8d•Onsite

About The Position

UF Information Technology (UFIT) is currently seeking an entry level Identity Data and Data Management Analyst I to join Data Platform and Analytics, a unit within UFIT. The Identity Data and Data Management Analyst will support the University’s mission to steward institutional data responsibly, ensuring accuracy, ethical use, and value extraction. The role focuses on enforcing governance policies, managing core data assets, resolving duplicate identity records, and performing analysis of identity data for strategic decision‐making.

Requirements

Associate's degree; or a high school diploma or equivalent and two years of relevant experience.
Appropriate college coursework or vocational/technical training may substitute at an equivalent rate for the required experience, but does not negate the minimum degree requirements.

Nice To Haves

Knowledge of data hierarchy, taxonomy, and ontology design.
Introductory experience (internship or coursework) in data governance, data cataloging, or identity resolution.
Basic proficiency in SQL, Python, or R for data manipulation and analysis.
Bachelor’s degree in Library & Information Science, Computer Science, Data Science, or related field.
Prior exposure to university data governance initiatives or similar institutional settings.

Responsibilities

Assist in implementing and maintaining data governance frameworks, policies, and standards.
Monitor compliance with data‑quality, security, and privacy requirements.
Maintain central data repositories (e.g., master data hubs, data catalogs).
Perform routine data enrichment, cleansing, and lineage documentation.
Conduct descriptive and diagnostic analytics on identity data to uncover patterns, gaps, and opportunities.
Produce concise reports and dashboards for stakeholders (e.g., registrar, finance, IT).
Identify, investigate, and resolve duplicate identity records using profile matching algorithms and manual review.
Collaborate with the Identity Services team to keep the university master identity model consistent.
Leverage library science methodologies to curate metadata schemas and data taxonomies.
Ensure metadata standards align with institutional and external (e.g., RDA, Dublin Core) guidelines.