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Metadata Analyst Jobs in Ohio (NOW HIRING)

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Metadata Analyst information

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$29.5K

$69.6K

$123.6K

How much do metadata analyst jobs pay per year?

As of Aug 13, 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 Management Analyst-Columbus OH - Hybrid

Apetan Consulting llc

Columbus, OH • On-site

$70/hr

Contractor

Posted 28 days ago


Job description

Role: Data Management Analyst

Location: Columbus OH – Hybrid

                                                                                                          

Job Description              

The Data Management Analyst 5 will be taking on a new role within the team in order to focus on examining data lineage and drive data governance This contractor will act as a consultant for the teams data management strategy and assist in defining opportunities, tools, and execution methods.

Covers jobs that drive oversight, governance, and management of critical data to support business needs, initiatives, and strategies. Consult with data product, data integrity, technology, and business partners to set standards, policies and practices for data flow, data framework, data access, documentation, quality and remediation. This sub-family is specific to contingent resources.

Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Data Management

Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking

Provide expertise to Wells Fargo senior leadership on innovative Data Management business solutions. Strategically engage with Wells Fargo personnel.

Duties include:

•Lead the development, implementation, and continuous improvement of enterprise data governance frameworks, standards, policies, and procedures.

•Collaborate with stakeholders and engagements

•May present findings and strategy leadership

•Creating reports and performing complex analysis in order to reshape and examine digital requirements

•Establish and oversee data ownership, stewardship, accountability, and governance operating models across multiple data domains.

•Drive enterprise adoption of data management practices including data quality, metadata management, lineage, data controls, and critical data element management.

•Chair or facilitate governance forums and domain councils to resolve data-related risks, issues, priorities, and strategic decisions.

•Partner with business, technology, risk, compliance, and audit stakeholders to ensure alignment with regulatory, policy, and governance requirements.

•Provide strategic leadership and subject matter expertise on data governance, data management, and enterprise data strategy initiatives.

•Influence enterprise-wide decisions regarding data standards, quality expectations, metadata requirements, and governance controls.

•Serve as a trusted advisor to senior leadership on data-related risks, opportunities, and governance priorities.

•Promote a culture of data accountability, quality, transparency, and responsible data management across the organization.

•Ensure governance requirements are embedded within Agile delivery processes, product development lifecycles, and change initiatives.

•Drive continuous improvement through automation, process optimization, and adoption of emerging governance capabilities."                                                                                                                                                                      

Required Skills                                                                                                                                                                                                                                                                     

•Strong Knowledge of Data Strategy with a  proven track record of success

•7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

•Experience with Data modeling, data domains, data governance experience

•Ability to identify needs, create and define customized reports as needed

•Ability to perform complex analysis to examine digital requirements

•Data mapping

•AI Usage Experience

•Ability to identify needs, create and define customized reports as needed                                                                                               

Desired Skills

•Analytical Problem Solving

•Data Lifecycle Management

•Data Strategy

•Banking domain experience