ZipRecruiter

Log In

1

Research Data Analyst Jobs in Ohio (NOW HIRING)

centralins

Data Analyst

Van Wert, OH · Hybrid

Display critical thinking and evaluation when researching and responding to inquiries and referrals * Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.

centralins

Data Analyst

Van Wert, OH · Hybrid

Display critical thinking and evaluation when researching and responding to inquiries and referrals * Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.

Collabera

Data Analyst

Hilliard, OH

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ... and communicate research and findings Manage multiple responsibilities and deadlines Work ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

Uncovering patterns in data and visuals that some might take for granted and researching. Looking ... Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics ...

next page

Showing results 1-20

All JobsResearch Data Analyst JobsResearch Data Analyst Jobs in Ohio

Research Data Analyst information

See Ohio salary details

$36.6K

$70.3K

$94.6K

How much do research data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for research data analyst in Ohio is $70,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $93,600.00 per year, depending on experience, location, and employer.

Can I be a research data analyst with no experience?

Research data analyst roles typically require some experience with data analysis tools like Excel, SQL, or statistical software, but entry-level positions may be available for candidates with relevant education or strong analytical skills. Gaining certifications or completing relevant coursework can improve chances of starting in this field without prior work experience.

What are some common challenges research data analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are the key skills and qualifications needed to thrive as a research data analyst, and why are they important?

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

What is a research data analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.
What are popular job titles related to Research Data Analyst jobs in Ohio? For Research Data Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Research Data Analyst jobs in Ohio look for? The top searched job categories for Research Data Analyst jobs in Ohio are:
Research Data Analyst jobs near you
Infographic showing various Research Data Analyst job openings in Ohio as of July 2026, with employment types broken down into 2% Internship, 82% Full Time, 6% Part Time, and 10% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $70,318 per year, or $33.8 per hour.

Aircraft MXS Research/Data Analyst, Senior WPAFB

Diaconia LLC

Dayton, OH

$65K - $75K/yr

Other

Re-posted 3 days ago

Job description

Description

Diaconia is looking for a talented Research Data Analyst, Senior to join our Amazing team!

If you're looking to join a company that truly appreciates you and your talents, look no further! At Diaconia, we are committed to serving and caring for our colleagues, our clients and our community. Our team is made up of talented individuals who appreciate having the opportunity to contribute their knowledge and experience to further the growth and development of our industry. Our ideal candidates embrace diverse thinking, enjoy partnering with others and are seeking to make a difference!

Job Overview:

Primary ResponsibilitiesData Collection & Analysis
  • Collect, aggregate, and interpret data from USAF maintenance and logistics systems.
  • Perform trend assessments and identify performance indicators, deviations, and improvement opportunities.
  • Translate analytical findings into visual outputs including charts, graphs, dashboards, and spreadsheet reports.
Data Integrity & Quality Assurance
  • Validate data sets within G081, Program Depot Maintenance Scheduling System (PDMSS), and Logistics Evaluation Assurance Program (LEAP).
  • Ensure data accuracy, traceability, standardization, and relevance for decision-support applications.
  • Identify inconsistent or incomplete data entries and work with stakeholders to correct deficiencies.
Modeling, Forecasting, & Simulation
  • Independently design, build, and execute scientific models to evaluate and predict aircraft and logistics performance parameters.
  • Utilize quantitative and computational tools such as JMP, MATLAB, Simio, Python, and VBA to simulate operational outcomes.
  • Apply analytical methodologies to solve complex sustainment problems and develop alternative solutions.
Research, Innovation, & Study Participation
  • Serve as a member of analytical study teams supporting USAF logistics, maintenance, and operational improvement efforts.
  • Generate new concepts, tools, and methodologies to strengthen aircraft health monitoring and forecasting capabilities.
  • Manage project scope, timelines, deliverables, and budget constraints to ensure successful study execution.
Visualization & Results Communication
  • Build data dashboards, performance graphics, and visualization models using Tableau or similar tools.
  • Present analytic outcomes to program leadership, engineering teams, and cross-organizational audiences.
  • Develop written reports, white papers, briefings, and data packages supporting program decisions.
Customer & Interagency Collaboration
  • Coordinate with USAF units, program offices, depot organizations, and enterprise users to enhance data quality and analytic output.
  • Communicate complex technical findings in a clear, actionable manner for both technical and non-technical audiences.
  • Maintain strong professional relationships and support negotiation, problem-resolution, and consensus building.
  • Must have USAF experience or relevant Department of Defense experience with the Aircraft.
  • Prior Aircraft Crew Chief experience a plus.

Requirements

Additional Information:

Required Skills & Qualifications
  • Experience with USAF logistics, maintenance, or program support systems.
  • Proficiency in quantitative analysis, modeling, and data validation.
  • Ability to develop analytics tools/programs using JMP, MATLAB, Simio, Python, or VBA.
  • Experience designing and delivering data visualizations-Tableau preferred.
  • Strong written and verbal communication skills.
Desired Experience
  • Background in aircraft sustainment, depot maintenance, or reliability/maintainability analysis.
  • Experience with operational readiness metrics and performance forecasting.
  • Knowledge of Air Force data environments, workflow structure, and stakeholder relationships.
  • USAF Aircraft Crew Chief experience.

Minimum Required Qualifications:

  • Active Secret DOD Clearance required at hire date will upgrade right candidate to Top Secret DOD Security Clearance
  • U.S. Citizenship required for U.S. Government entity.
  • AND One of the following combinations of education/experience:
    • MA/MS degree, and twelve (12) years of experience in the respective technical/professional discipline being performed, five (5) years of which must be in the DoD.
    • BA/BS, fifteen (15) years of experience in the respective technical/professional discipline being performed, five (5) of which must be in the DoD.


Apply