Associate Data, Metadata Analyst

OCLC

Associate data analyst managing bibliographic and holdings metadata for OCLC, a nonprofit technology company serving libraries worldwide. Improving data quality through automation, visualization, and AI-assisted workflows.

Posted 8/10/2026full-timeDublin • Ohio • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates foundational knowledge in data management and analysis, with a focus on bibliographic data standards and quality assurance. Proficient in utilizing tools like Power BI for data visualization and AI-assisted technologies for data processing and matching.

Highest-signal resume keywords

Data IngestMARC StandardsPython ProgrammingPower BI VisualizationData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data NormalizationData EnrichmentData ProfilingData MatchingSQLXSLTAPIsSFTPAI ConceptsLinked Data

Soft Skills

Analytical SkillsCommunication SkillsAttention to Detail

Tools & Technologies

Power BIStreamlitAWS S3Cloud Data StoresAI-Assisted Tools

Industry Keywords

Dublin CoreKBARTBIBFRAMEData Quality TrendsData Source Profiles

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Manage the lifecycle of bibliographic and holdings data
Perform data ingest, normalization, enrichment, and matching according to established standards
Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies
Investigate and resolve data quality issues, escalating complex problems to senior staff as needed
Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues
Apply existing scripts and automated workflows to process data
Identify inefficiencies and suggest process improvements
Use and interpret dashboards such as Power BI to monitor data quality trends and communicate findings
Utilize AI-assisted tools for record matching and field mapping
Contribute structured feedback to improve AI model accuracy over time
Document data source profiles, processing decisions, and technical workflows
Execute foundational tasks supporting senior analysts
Participate in platform improvement projects

Requirements

What you’ll need

Bachelor's degree in computer science, math, statistics, or related field
Internship experience with data analysis or creation of library data
Entry-level analytical and communication skills
Attention to data quality while working under regular supervision
Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME
Exposure to Python, SQL, or XSLT
Exposure to SFTP, APIs, or AWS S3
Conceptual familiarity with cloud data stores such as Snowflake
Familiarity with visualization tools such as Power BI or Streamlit
Interest in applying AI and linked data concepts such as Schema.org to library data challenges

Benefits

Comp & perks

Comprehensive Total Rewards package
Competitive compensation
Best-in-class health coverage
Retirement plans with generous company contributions
Commitment to overall well-being
Hybrid work environment
Free use of on-site fitness center, gym sports, group exercise classes, and game room
Onsite catering and cafeteria subsidized by OCLC
Health and wellness events
Work environments with individual and team spaces and the latest technology tools
Paid parental leave and adoption assistance
Tuition reimbursement and Public Service Loan Forgiveness eligibility
Company-subsidized pricing on local tickets and memberships