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Data Reviewer Jobs in Ohio (NOW HIRING)

Modern Technology Solutions, Inc.

$100K - $126K/yr

Review/develop/update applicable program documentation for configuration/data management relevant requirements. * Maintain configuration status accounting databases and records to reflect the status ...

ark data centers

Data Center Manager

Akron, OH · On-site

$159K/yr

Ensure adherence to Data Center and company processes including, but not limited to change management, problem management, incident management; and regularly communicate, train and review the ...

ark data centers, LLC

Data Center Manager

Akron, OH · On-site

$159K/yr

Ensure adherence to Data Center and company processes including, but not limited to change management, problem management, incident management; and regularly communicate, train and review the ...

ark data centers, LLC

Data Center Manager

Akron, OH

$159K/yr

Ensure adherence to Data Center and company processes including, but not limited to change management, problem management, incident management; and regularly communicate, train and review the ...

Highlights for Children

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Conduct code reviews of pull requests touching the medallion architecture and shared frameworks * Partner with data engineers on complex modeling and transformation work Data Architecture * Own and ...

Credence

Review, develop, and update applicable program documentation for configuration and data management requirements. * Review program-unique specifications, including system specifications, development ...

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All JobsData Reviewer JobsData Reviewer Jobs in Ohio

Data Reviewer information

See Ohio salary details

$12

$24

$41

How much do data reviewer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data reviewer in Ohio is $24.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $34.52 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is the Job of a Data Reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are Data Reviewers?

Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.

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

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

What is a data reviewer's job?

A data reviewer is responsible for examining and validating data for accuracy, completeness, and consistency. They often use tools like spreadsheets or data management software and may follow established guidelines or standards to ensure data quality in various organizational contexts.

What jobs make $1,000,000 a year?

In the field of data review, high-level roles such as Chief Data Officer or senior data executives can earn close to or exceeding $1 million annually, especially in large corporations. These positions typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

How does a Data Reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data reviewed. They often work with electronic data capture tools and may require knowledge of regulatory standards like GCP and FDA guidelines.

Is 40 too late for data science?

A Data Reviewer role involves analyzing and validating data quality, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, making age less of a barrier than skill and experience.
More about Data Reviewer jobs
What are the most commonly searched types of Data Reviewer jobs in Ohio? The most popular types of Data Reviewer jobs in Ohio are:
What are popular job titles related to Data Reviewer jobs in Ohio? For Data Reviewer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Reviewer jobs in Ohio look for? The top searched job categories for Data Reviewer jobs in Ohio are:
What are popular job titles related to Data Reviewer jobs in OH? For Data Reviewer jobs in OH, the most frequently searched job titles are:
Data Reviewer jobs near you
Infographic showing various Data Reviewer job openings in Ohio as of July 2026, with employment types broken down into 2% Internship, 79% Full Time, 2% Part Time, 4% Temporary, 11% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $51,892 per year, or $24.9 per hour.
FOIA Data Migration & Compliance Lead - Government

FOIA Data Migration & Compliance Lead - Government

Relativity

Columbus, OH • On-site

Other

Posted 7 days ago

Job description

Posting Type

Remote/Hybrid

Job Overview

The FOIA Data Migration & Compliance Lead is a technically skilled, government-domain-experienced professional who serves as both a hands-on practitioner and technical lead for Relativity's FOIA (Freedom of Information Act) Data Migration initiative. This role enables Relativity's growing portfolio of federal, state, and local government customers to onboard, migrate, and manage their FOIA data within RelativityOne.
This individual operates in a dual capacity: defining, documenting, and prioritizing Data Migration tooling requirements in close partnership with engineering, while engaging directly with FOIA agency customers to execute and support migration projects. Because this role handles government data under Relativity's FedRAMP authorization, familiarity with FedRAMP significant-change processes, FIPS 140-3, and NIST frameworks are expected.
Due to specific customer contract requirements, this position requires that the successful candidate be a U.S. citizen. As a condition of your role supporting the RelativityOne Government product, you are required to obtain a Public Trust clearance. The process for obtaining the Public Trust clearance will be handled by the federal government and could include additional background screening regarding criminal history, drug use, financial records, and a character assessment. If you are unable to obtain the Public Trust clearance, you will be unable to work on the RelativityOne Government product, and your employment, if still in effect, may be terminated.

Job Description and Requirements

Job Description and Requirements

Data Migration Execution

  • Lead end-to-end data migration projects for new FOIA customers and government agencies, ensuring data is migrated intoRelativityOneaccurately, securely, and efficiently.

  • Develop and execute migration plans - including data mapping, validation, transformation logic, and cutover strategies - tailored to agency-specific requirements.

  • Serve as the primary technical point of contact for FOIA agency customers across the migration lifecycle, from pre-migration planning through post-migration validation.

  • Troubleshoot and resolve migration issues, data anomalies, and integration challenges in collaboration with engineering.

Technical Implementation Leadership

  • Serve as the technical subject matter expert andproduct backlogdriver for the Data Migration Utility.Maintain a near-term view of utility enhancement needs, balancing immediate customer delivery against longer-term platform scalability and communicating tradeoffs to engineering and product leadership.

  • Write user stories, acceptance criteria, and functional specifications; test andvalidatenew utility features, providing structured feedback and driving iteration.

  • Document tool capabilities, configurations, and migration best practices.

Government & FOIA Customer Enablement

  • Apply deep knowledge of FOIA regulations, agency data management workflows, and public records requirements to deliver appropriately tailored migration guidance.

  • Partner with the broader TAM and Customer Success teamsto introducenew FOIA agency customers,establishingrepeatable migration playbooks and success criteria.

  • Serve as a subject matter expert on government data handling, including data sensitivity classifications, records retention policies, and agency-specific compliance considerations.

  • Represent the voice of government agency customers internally, translating their operational realities into actionable product feedback.

Documentation & Continuous Improvement

  • Create andmaintaintechnical documentation, migration runbooks, and knowledge base content that support consistent, scalable migration delivery.

  • Identifyand report product defects, tool gaps, and process inefficiencies discovered during engagements.Continuously refine migration methodologies to improve accuracy, efficiency, and customer experience.

FedRAMP & Government Data Security Context

  • All FOIA customer data handled in this role isclassifiedDT1 (Data Type 1), the highest sensitivity tier under Relativity's FedRAMP authorization. Direct access to DT1 data requires Public Trust clearance - a prerequisite for the role.

  • The role requires working within pre-approved toolsets and Azure-native capabilities.

Minimum Qualifications

  • Bachelor's degree in computer science, Information Technology, Information Management, or a related field - or equivalent practical experience.

  • Proven experience working directly with government agencies, public-sector organizations, orregulated-industrycustomers in a technical or consulting capacity.

  • Demonstrated experience in data migration, data integration, or data engineering, including designing and executing migrations of structured and/or semi-structured data sets.

  • Working knowledge of SQL and experience querying and transforming data.Hands-on experience with data formats, transformation tools, and scripting languages relevant to migration work (e.g., Python, PowerShell, JSON, XML, CSV processing).

  • Strong written and verbal communication skills, with the ability to translate complex technical concepts for technical and non-technical government stakeholders.

  • Experience ina productowner or technical lead capacity - capturing requirements, documenting specifications, and driving iterative delivery engineering.

  • Ability to obtain andmaintaina Public Trust designation as a condition of employment. Candidates who currently hold Public Trust or an active federal security clearance (Secret or above) are preferred.

Preferred Qualifications

  • Prior experience working with or within federal, state, or local government agencies - particularly in FOIA administration, records management, data governance, or public records compliance.

  • Working knowledge of the Freedom of Information Act (5 U.S.C. * 552), including exemptions, agency request workflows, processing timelines, and high-volume request management.

  • Familiarity with government data security frameworks including NIST SP 800-53, FedRAMP, FISMA, and CJIS Security Policy.

  • Experience handling government-designated sensitive data categories - Controlled Unclassified Information (CUI), PII, Law Enforcement Sensitive (LES), or similar - per applicable handling requirements.

  • Experience navigating government procurement, contracting, or Authority to Operate (ATO) processes.

  • Experience building or supporting data migration solutions on extensible SaaS or cloud platforms, with exposure to REST APIs, cloud storage services, and modern integration patterns.

  • Familiarity with FOIA-specific platforms (e.g.,FOIAXpress, GovQA, Paladin) and how agency FOIA systems structure and export data.

  • Familiarity with Relativity orRelativityOne, or Relativity certifications (RCA, Specialist, Expert, or platform-specific credentials).

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$134,000 and $202,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Communication, Cybersecurity, Database Management, Government Regulation, Legal Research, Natural Language, Policy Analysis, Report Writing, Stakeholder Management, Strategic Planning

Apply