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Metadata Analyst Jobs in Ohio (NOW HIRING)

Senior Analyst*

Dayton, OH · On-site

$82K - $108K/yr

Develop and maintain comprehensive data dictionaries, metadata documentation, and data mapping specifications.Document programming code and analytical processes in accordance with USAFSAM programming ...

Senior Analyst*

Dayton, OH

$82K - $108K/yr

Develop and maintain comprehensive data dictionaries, metadata documentation, and data mapping specifications. * Document programming code and analytical processes in accordance with USAFSAM ...

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

The Data & Analytics team is seeking a resource that will be engaged in hands-on and in-person metadata collection effort across the Business Process teams, the Data Conversion team, and the Data ...

... metadata environment - data dictionary, business glossary, lineage, and semantic layer - that enables self-service analytics and AI capabilities * Manage data lifecycle and compliance - ensure data ...

... metadata environment - data dictionary, business glossary, lineage, and semantic layer - that enables self-service analytics and AI capabilities * Manage data lifecycle and compliance - ensure data ...

Data & Analytics Enablement Analyst

Columbus, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data & Analytics Enablement CoE Specialist is responsible for designing, delivering, and ... metadata resources and work with owners to identify enhancements and solutions to facilitate ...

Regularly audit the CLM database to ensure all metadata (e.g. dates, parties, values, obligations) is accurate and up-to-date * Ensure that integrated systems are updated accordingly. Data Analytics ...

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Showing results 41-60

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 12, 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 does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and ensuring the accuracy of metadata, which is data that describes other data. They often work with data management tools, perform quality checks, and develop standards to improve data retrieval and usability within organizations.
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:
Infographic showing various Metadata Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 16% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $69,649 per year, or $33.5 per hour.

Data Governance -Collibra Developer(

Purple Drive

Columbus, OH • On-site

Contractor

Posted 26 days ago


Job description

About the job you're considering

As the organization continues to expand its data ecosystem across cloud and on-premise platforms, there is a growing need to establish strong data governance, transparency, and trust in enterprise data assets.

We are looking for a Data Catalog & Lineage Specialist to lead the implementation and adoption of enterprise-wide data cataloging, metadata management, and lineage capabilities. This role is critical to ensuring data is discoverable, reliable, compliant, and traceable, supporting both business and regulatory requirements.

Summary of the Role

The Data Catalog & Lineage Specialist will be responsible for designing, implementing, and operationalizing metadata management and data lineage solutions. The role requires hands-on expertise in Collibra, along with strong knowledge of AWS-based data architectures, Snowflake, and relational databases.

This position will work closely with cross-functional teams, including data engineering, governance, and business stakeholders, to embed data governance practices and enable end-to-end visibility into data flows.

Your Role

  • Lead the design and implementation of enterprise data catalog and lineage solutions using Collibra
  • Develop and maintain metadata management frameworks and standards across the organization
  • Enable end-to-end data lineage across cloud and on-premise systems
  • Collaborate with business and technical teams to ensure data is discoverable, trusted, and compliant
  • Drive adoption of data governance frameworks and best practices
  • Identify and classify PII (Personally Identifiable Information) and ensure compliance with data protection policies
  • Integrate metadata and lineage capabilities into AWS-based data platforms and Snowflake environments
  • Support data quality, data stewardship, and regulatory reporting initiatives
  • Provide leadership and guidance to cross-functional teams on data governance and lineage strategies

Required Skills & Qualifications

  • Strong hands-on experience with Collibra (Data Catalog & Lineage modules)
  • Solid understanding of data governance frameworks and best practices
  • Experience with AWS data architecture (e.g., S3, Glue, Redshift, Lambda, etc.)
  • Expertise in Snowflake and relational databases
  • Proven experience in implementing data lineage and metadata management solutions
  • Ability to identify and manage PII and sensitive data elements
  • Strong knowledge of data modeling, ETL processes, and data integration
  • Experience working in cross-functional and enterprise environments
  • Excellent communication and stakeholder management skills
  • Strong analytical and problem-solving abilities

Preferred Qualifications

  • Experience in large-scale data governance transformations
  • Familiarity with regulatory requirements related to data privacy and compliance
  • Certifications in Collibra, AWS, or Data Governance (preferred but not mandatory)