Associate Data, Metadata Analyst

OCLC; Dublin (OH); On-site; USD 52,000 - 68,000; Full time

Job summary

OCLC in Dublin, OH seeks an Associate Data Analyst/Metadata Analyst to manage bibliographic and holdings data, ensuring accuracy through evaluation, transformation, and maintenance. This entry-level role blends metadata know-how with growing scripting, automation, and AI-assisted workflows under supervision.

You will move from well-defined tasks to owning complex data projects, collaborating with librarians, data engineers, and product teams, and using Power BI dashboards to monitor quality and

Qualifications

• Entry-level role combining metadata expertise with developing technical skills in scripting, automation, and AI-assisted workflows.
• Ability to evaluate, transform, and maintain bibliographic and holdings data according to established standards (e.g., MARC, KBART).
• Willingness to learn and grow under regular supervision, progressing toward ownership of complex data projects.

Responsibilities

• Data Lifecycle Management: ingest, normalize, enrich, and match data to MARC/KBART standards.
• Quality Assessment: profile data to resolve structure, encoding, and tagging issues.
• Troubleshooting: identify and resolve data quality problems; escalate as needed.
• Vendor Communication: coordinate with external data providers on data specs and quality.
• Pipeline Support: apply scripts and automated workflows to process data and improve efficiency.
• Data Visualization: use Power BI dashboards to monitor data quality trends and share findings.
• AI Integration: leverage AI-assisted tools for record matching and mapping; contribute feedback to improve models.
• Knowledge Management: document processes and best practices.

Skills

Data lifecycle management

Quality assessment

Troubleshooting

Vendor communication

Scripting & automation

AI-assisted workflows

Power BI

Tools

Power BI

Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well‑being.

• We know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
• Free use of our 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

Join us in transforming how people everywhere access information and be part of a mission‑driven team that makes a global impact.

The job details are as follows:

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This entry‑level role combines metadata expertise with developing technical skills in scripting, automation, and AI‑assisted workflows. Working under regular supervision, the Associate will transition from executing well‑defined tasks to taking ownership of complex data projects. This is an opportunity to develop expertise at the intersection of library data, modern data engineering, and emerging AI — in a team that invests in the growth of its people.

Responsibilities:

Data Operations & Quality

• Data Lifecycle Management: Perform data ingest, normalization, enrichment, and matching according to established standards (e.g., MARC, KBART).
• Quality Assessment: Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies.
• Troubleshooting: Investigate and resolve data quality issues, escalating complex problems to senior staff as needed.
• Vendor Communication: Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues.

Technical Solutions & Automation

• Pipeline Support: Apply existing scripts and automated workflows to process data; identify inefficiencies and suggest process improvements.
• Data Visualization: Use and interpret dashboards (e.g., Power BI) to monitor data quality trends and communicate findings.
• AI Integration: Utilize AI‑assisted tools for record matching and field mapping; contribute structured feedback that helps improve AI model accuracy over time.

Collaboration & Documentation

• Knowledge Management: