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Data Reviewer Jobs in Ohio (NOW HIRING)

This support shall include drafting of data call letters for Government review and release. * Have ... understanding of distribution statements and FAR/DFARS data rights clauses; evaluating change ...

Reviewer Appraiser

Cincinnati, OH · On-site

$34.57 - $46.11/hr

Analyzes quality and statistical data for the assigned property under review. Develops a summary of collateral and communicate to the customer for the lending decision. Basic Qualifications - High ...

Reviewer Appraiser

Hamilton, OH · On-site

$34.57 - $46.11/hr

Analyzes quality and statistical data for the assigned property under review. Develops a summary of collateral and communicate to the customer for the lending decision. Basic Qualifications - High ...

Reviewer Appraiser

Columbus, OH · On-site

$34.57 - $46.11/hr

Analyzes quality and statistical data for the assigned property under review. Develops a summary of collateral and communicate to the customer for the lending decision. Basic Qualifications - High ...

Reviewer Appraiser

Fairlawn, OH · On-site

$34.57 - $46.11/hr

Analyzes quality and statistical data for the assigned property under review. Develops a summary of collateral and communicate to the customer for the lending decision. Basic Qualifications - High ...

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Showing results 1-20

Data Reviewer information

See Ohio salary details

$12

$24

$41

How much do data reviewer jobs pay per hour?

As of Sep 3, 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 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.

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.

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 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.

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 in healthcare or research settings, utilizing data management tools and adhering to regulatory standards.

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 OH?

For Data Reviewer jobs in OH, the most frequently searched job titles are:

Infographic showing various Data Reviewer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $51,892 per year, or $24.9 per hour.

Operations Research Technical Reviewer

SierTeK Ltd.

Beavercreek, OH • On-site

Part-time

Posted 23 days ago


Job description

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled veteran-owned company, we serve as prime- and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.
SierTeK Ltd. is seeking an Operations Research Technical Reviewer (Operations Research Analyst/Mathematician/Statistician) to support an opportunity remotely (part-time).
PLEASE APPLY DIRECTLY ON OUR WEBSITE:
Position Overview Section
We are seeking an experienced Operations Research Technical Reviewer to support the U.S. Air Force School of Aerospace Medicine (USAFSAM) and Department of the Air Force (DAF) studies involving health outcomes, accession standards, medical waiver policies, readiness, retention, and force health analytics.
The successful candidate will provide advanced statistical and operations research expertise to analyze complex healthcare and military datasets, develop predictive and statistical models, validate analytical methodologies, and communicate findings to Air Force leadership and stakeholders. This position requires strong experience in biostatistics, healthcare analytics, SAS programming, study design, and military medical data environments.
Essential Job Functions
Statistical Analysis & Operations Research
  • Provide subject matter expertise in statistical analysis evaluating the long-term impacts of accession medical conditions on:
    • Duty performance
    • Retention
    • Readiness
    • Force health outcomes
  • Conduct advanced statistical analyses of healthcare and military datasets.
  • Develop, modify, and analyze datasets using SAS Enterprise Guide (SAS EG).
  • Apply statistical methodologies to evaluate relationships between medical conditions, accession standards, and operational outcomes.
  • Develop theoretically driven statistical models to evaluate relationships among variables within Air Force medical data environments.

Data Management & Analytics
  • Collect, validate, transform, and integrate data from multiple government databases.
  • Access and analyze medical records and operational datasets in accordance with approved data-sharing agreements.
  • Perform data mapping between source systems and analytical datasets.
  • Develop:
    • Data dictionaries
    • Data storage requirements
    • Data structures
    • Analytical datasets
  • Create and maintain datasets supporting statistical modeling, analysis, and publication.
  • Apply appropriate stratification methods using:
    • ICD codes
    • Medical classifications
    • Operational criteria
    • Other relevant health indicators

Statistical Modeling & Validation
  • Assist in developing and evaluating statistical models supporting Air Force accession waiver policy analysis.
  • Perform validation and verification activities to ensure analytical products meet requirements.
  • Identify model performance issues and assist with corrective actions.
  • Evaluate analytical methods, assumptions, and study outputs for accuracy and reliability.
  • Provide technical oversight of methodologies, analyses, and reports.

Project Management & Technical Documentation
  • Scope analytical projects and support project planning activities.
  • Develop and monitor:
    • Project timelines
    • Milestones
    • Deliverables
    • Progress reports
  • Document analytical processes, statistical methodologies, and computer code.
  • Maintain programming documentation in accordance with USAFSAM standards and commercial best practices.
  • Prepare technical documentation for government review and future reuse.

Scientific Communication & Collaboration
  • Participate as a health statistics subject matter expert in interdisciplinary research teams.
  • Support professional conferences through:
    • Poster development
    • Presentations
    • Peer-reviewed publications
  • Prepare briefings and reports for:
    • Air Force Recruiting Service (AFRS)
    • USAFSAM leadership
    • Department of the Air Force stakeholders
  • Translate complex analytical findings into actionable information for decision-makers.

Technical Support
  • Provide automation and analytical support using:
    • SAS/SAS Enterprise Guide
    • Microsoft Access
    • Microsoft Excel
    • Microsoft Publisher
    • Microsoft SQL
    • Adobe products
    • Microsoft Windows environments
  • Support Air Force medical data systems and standards.
  • Maintain HIPAA compliance while working with protected health information.

Qualifications
Minimum Position Requirements
  • Master's degree or Ph.D. in:
    • Biostatistics
    • Statistics
    • Operations Research
    • Mathematics
    • Related quantitative discipline
  • Minimum 3 years of experience in the applicable technical field.
  • Minimum 10 years of statistical experience within a healthcare or military environment.
  • Current HIPAA training certification.
  • Advanced expertise in:
    • Statistical analysis
    • Study design
    • Research methodology
    • Data analysis
    • Statistical modeling
  • Demonstrated proficiency with:
    • SAS
    • SAS Enterprise Guide (SAS EG)
  • Experience performing descriptive and inferential statistical analyses.
  • Experience working with healthcare datasets, medical records, or military health data.
  • Experience developing analytical datasets and supporting research studies.
  • Ability to communicate technical findings through reports, presentations, and briefings.
  • Must sign a Non-Disclosure Agreement (NDA) prior to performance

Highly Desired
  • Five or more years of experience supporting medical research, military health analytics, or Department of Defense studies.
  • Experience working with:
    • Air Force medical records systems
    • Defense Health Agency (DHA) data
    • Application Virtualization Hosting Environment (AVHE)
    • Military personnel datasets
  • Experience supporting:
    • USAFSAM research programs
    • Accession waiver analysis
    • Readiness studies
    • Force health protection initiatives
  • Experience publishing peer-reviewed scientific manuscripts.
  • Experience presenting research findings at professional conferences.

SierTeK is an equal opportunity employer. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
If you need assistance or accommodation due to a disability, you may contact us at 1+833.743.7835.
*This job posting is to identify potential candidates for positions in order to respond to a request for proposal. This job posting, including but not limited to, qualifications, duties, compensation and benefits, is subject to change based on the terms and conditions of the awarded contract and is contingent on SierTeK being awarded the contract.

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About Siertek

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Beavercreek, OH, US

Year founded

2007