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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data/ Metadata Analyst - **Company:** OCLC - **Location:** Leiden, Netherlands (Remote available) - **Experience:** Experienced - **Salary:** €4,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Data Analysis, Application Integration Architecture, Cloud Database, Encodings, Data Transmissions, Data Integrity, Data Visualization, Document-Oriented Databases, Information Lifecycle Management, Information Sciences, Python (Programming Language), Knowledge Management, Linked Data, Metadata, Metadata Standards, Power BI, SQL Databases, Extensible Stylesheet Language Transformations (XSLT), Data Processing, Scripting, File Transfer Protocol (FTP), Snowflake, Schema.org, Information Technology, Data Management, Streamlit Framework - **Published:** August 24, 2026 - **Apply:** https://wd1.myworkdaysite.com/recruiting/oclc/OCLC_EMEA_Careers/job/Leiden/Associate-Data--Metadata-Analyst_R0003885 ## About the Role * Education: Bachelor's degree in Library/Information Science, Computer Science, Mathematics, Statistics, or a related field; OR three years of experience in data analysis or library metadata. Analytical Skills: Demonstrated ability to work methodically with high attention to detail and data integrity. Communication: Strong verbal and written skills for documenting technical processes and communicating with stakeholders. Preferred Knowledge, Skills and Experience ( or willingness to learn): * Metadata Standards: Foundational knowledge of MARC, Dublin Core, RDA, Unimarc, KBART, BIBFRAME. * Technical Tools: Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or AWS S3). * Data Platforms: Conceptual familiarity with cloud data stores (e.g., Snowflake) and visualization tools (e.g., Power BI, Streamlit). * Emerging Tech: Interest in applying AI and linked data concepts (e.g., Schema.org) to library data challenges. * Language Skills: Ideally fluent in a language in addition to English, must be capable of working with data in any language, familiarity with non-Latin scripts and standards of character encoding. ## Description * 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: Document data source profiles, processing decisions, and technical workflows to ensure team-wide knowledge sharing. * Team Support: Execute foundational tasks to support senior analysts and participate in platform improvement projects. ## Related Videos - [Data is Key: Scraping Metadata from Websites](https://www.wearedevelopers.com/videos/708-data-is-key-scraping-metadata-from-websites) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Hate organising your photos? 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