Associate Data/ Metadata Analyst

• 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.

• 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.

What can you expect from us?

• We are a tech company and a library member organization with two offices in the Netherlands, located in Leiden and Eelde. Our global headquarters are situated in Dublin (Ohio), United States
• A competitive starting salary between 3300 and 4400 euros per month, depending on experience.
• An end of year bonus.
• With 26 days of paid vacation days (in case of full-time employment) and the option to buy or sell 6 vacation days, your work-life balance is guaranteed
• An attractive retirement plan
• A full-time role (part-time is negotiable)
• Hybrid work options, with a commuting allowance, working from home allowance and internet reimbursement.
• Flexible work hours.
• Access to our Employee Assistance Program and focus on learning and development.
• Bicycle plan, Company fitness and much more.