ZipRecruiter

Log In

1

Metadata Analyst Jobs (NOW HIRING)

The University of Alabama

$80K - $100K/yr

The Metadata Analytics Librarian contributes to metadata-related aspects of the FOLIO implementation and development lifecycle, including testing, workflow analysis, data migration, metadata analysis ...

iShare Inc

Metadata Developer

Manhattan, NY · Remote

$115K/yr

Analyze metadata requirements and implement scalable governance solutions * Support regulatory, audit, compliance, and risk management initiatives through enhanced data traceability * Create and ...

Sentar Inc.

Intrusion Analyst 3

San Antonio, TX · On-site

... • Analyze metadata collected from tasked communications systems in order to identify, locate, and track targets, and to accurately report the intelligence gained from metadata analysis. • ...

SAIC

Forensic Multimedia Intel Analyst

Bethesda, MD · On-site

$120K - $160K/yr

ORA_ON_SITE Description SAIC is seeking an Intel Analyst with experience in forensic multimedia and metadata analysis to support an Intelligence Community customer in Bethesda, MD. Key ...

BTS

Intrusion Analyst (Levels I-III)

Columbia, MD · On-site

The role involves analyzing metadata and digital network data to document malicious activity and develop mitigation strategies. Responsibilities : • Provide information and documentation that ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Consultant JobsMetadata Analyst Jobs

Metadata Analyst information

See salary details

$31K

$73.3K

$130K

How much do metadata analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for metadata analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 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.

More about Metadata Analyst jobs

What cities are hiring for Metadata Analyst jobs?

Cities with the most 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 Metadata Analyst jobs?

States with the most job openings for Metadata Analyst jobs include:

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

The top searched job categories for Metadata Analyst jobs are:

Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Associate Data/ Metadata Analyst

OCLC, Inc.

Dublin, OH • On-site

Full-time

Medical, Retirement

Posted 18 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.

Apply