You have a life. We like that about you.
At OCLC, we believe you'll do the best work of your life when you're living the best life possible.
We work hard to build the technology that connects thousands of today's libraries. But we also work hard to make a job at OCLC a meaningful part of a balanced life- not a substitute for one.
Responsibilities of the Associate Data Analyst/Metadata Specialist:
Data Operations & Quaility
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.
Minimum Required Knowledge, Skills and Experience:
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.
Are you interested in this position?
Click on the Apply button and follow the on-screen instructions. If you haven't done so yet, we ask you to create a Workday account first, so we can keep you informed about the application process. Applications sent by email will not be taken into consideration.
To create an account, simply enter your email address and choose a password (min 8 characters incl. numeric, special characters, and lower- and uppercase letters). You will then receive an email to confirm your account. Once you have confirmed your account, you can submit your application by uploading your CV and cover letter.
Want to know more about the job or OCLC first? Our HR colleagues will be happy to help: +31 (0)71-5246500 or send an email to [email protected].
To recruitment agencies: OCLC B.V. works with a preferred supplier and will not accept unsolicited CVs.
