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Internship Metadata Analyst Jobs (NOW HIRING)

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings ... Bachelor's degree in computer science, math, statistics, or related field and internship experience ...

Town of Fairfield

GIS Analyst

Fairfield, CT

$97K/yr

May lead or oversee the work of interns, consultants, and technical staff on assigned projects. GIS ... Develops, maintains, and updates municipal GIS databases, layers, and metadata. Ensures GIS data ...

Hunter Strategy

Data Analyst

$60K - $70K/yr

... metadata, under the guidance of senior analysts. - Support efforts to keep data accurate and ... NICE TO HAVE - Internship or project experience with data cleansing, reporting, or dashboards ...

Recorded Future

Fraud Analyst

... internships or academic research) • Foundational understanding of cyber threat analysis and ... related metadata • Familiarity with OSINT collection and analysis techniques • Exposure to ...

Recorded Future

Fraud Analyst

... internships or academic research) • Foundational understanding of cyber threat analysis and ... related metadata • Familiarity with OSINT collection and analysis techniques • Exposure to ...

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How much do internship metadata analyst jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship metadata analyst in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Internship Metadata Analyst vs Data Analyst?

AspectInternship Metadata AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate, some knowledge of metadata and data managementBachelor's degree in data science, statistics, or related field; often requires experience
Work EnvironmentInternship setting, often in tech, media, or research organizationsFull-time role in various industries like finance, healthcare, or marketing
Employer & Industry UsageUsed in organizations managing large datasets, digital assets, or metadata repositoriesCommon across industries for data analysis, reporting, and decision-making

The Internship Metadata Analyst role is an entry-level position focused on understanding and managing metadata, often as part of an internship program. In contrast, a Data Analyst is a more experienced role involving comprehensive data analysis, reporting, and insights generation. While both roles require familiarity with data concepts, the internship is typically a learning position, whereas the Data Analyst role demands more technical skills and experience.

What cities are hiring for Internship Metadata Analyst jobs?

Cities with the most Internship Metadata Analyst job openings:

What are the most commonly searched types of Metadata Analyst jobs?

The most popular types of Metadata Analyst jobs are:

What states have the most Internship Metadata Analyst jobs?

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Internship Metadata Analyst jobs near you

Associate Data/ Metadata Analyst

Dublin, OH • Hybrid

Management Institute of Canada
See more jobs at Management Institute of Canadaexternal

Full-time

Medical, Retirement

Posted 15 days ago

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 tness 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: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:
  • Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
  • Entry-level analytical and communication skills, with attention to data quality while working under regular supervision.
Preferred Knowledge, Skills and Experience:
  • Metadata Standards:Foundational knowledge of MARC, Dublin Core, KBART, or 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.
Working Conditions: Normal office environment.ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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