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Metadata Analyst Jobs in Ohio (NOW HIRING)

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

  • Medical

  • Retirement

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This ...

RELX

AI Data Analyst

Dayton, OH

  • Medical

  • Life

This role focuses on data readiness, quality, metadata, and governance, helping teams understand ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

Abercrombie

Analyst, Data Governance - A&F Co.

Columbus, OH

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive metadata and catalog management efforts by establishing data definitions, critical data ... Minimum 5 years of experience in data, analytics or governance, ideally in a retail or customer ...

The Timken Company

Senior MDM Analyst

North Canton, OH · On-site

$78K - $103K/yr

Build, maintain, and analyze end-to-end data lineage and metadata catalogs to ensure transparency and compliance. * Assist in the development, execution, and continuous improvement of the enterprise ...

The Timken Company

Senior MDM Analyst

North Canton, OH · On-site

$78K - $103K/yr

Build, maintain, and analyze end-to-end data lineage and metadata catalogs to ensure transparency and compliance. * Assist in the development, execution, and continuous improvement of the enterprise ...

Timken

Senior MDM Analyst

North Canton, OH · On-site

$78K - $103K/yr

Build, maintain, and analyze end-to-end data lineage and metadata catalogs to ensure transparency and compliance. * Assist in the development, execution, and continuous improvement of the enterprise ...

Timken

Senior MDM Analyst

North Canton, OH

$78K - $103K/yr

Build, maintain, and analyze end-to-end data lineage and metadata catalogs to ensure transparency and compliance. * Assist in the development, execution, and continuous improvement of the enterprise ...

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in Ohio

Metadata Analyst information

See Ohio salary details

$29.5K

$69.6K

$123.6K

How much do metadata analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for metadata analyst in Ohio is $69,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $82,700.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

What are the key skills and qualifications needed to thrive as a metadata analyst, and why are they important?

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

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

The most popular types of Metadata Analyst jobs in Ohio are:

What are popular job titles related to Metadata Analyst jobs in Ohio?

For Metadata Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Metadata Analyst jobs in Ohio look for?

The top searched job categories for Metadata Analyst jobs in Ohio are:

Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Ohio as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $69,649 per year, or $33.5 per hour.

Associate Data/ Metadata Analyst

Online Computer Library Center

Dublin, OH • On-site

Other

Medical, Retirement

Posted 4 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. We recognize 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 fitness 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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