Data & Metadata Analyst — AI & Automation

OCLC; Dublin (OH); Hybrid; 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

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