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Research Data Analyst Jobs in Ohio (NOW HIRING)

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating ... Market Research Knowledge: Foundational understanding of attitudinal research and segmentation ...

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating ... Market Research Knowledge: Foundational understanding of attitudinal research and segmentation ...

Summary: Coordinates data analysis activities, ensures accurate data collection, and collaborates with teams to interpret and present findings effectively. Essential Functions: * Collects and ...

Associate Data Analyst

Dayton, OH · On-site

$60 - $80/hr

Support encompasses data analysis of advanced manufacturing process data to improve efficiency and ... Due to the requirements of our research contracts with the U.S. federal government, candidates for ...

Operations Research Analyst

Dayton, OH · On-site

$93K - $110K/yr

Ability to obtain required database access and manage sensitive research data. * Strong ... Analyze complex operational and management problems, evaluate alternatives, and provide data-driven ...

$100 - $125/hr

Ability to obtain required database access and manage sensitive research data. * Strong ... Analyze complex operational and management problems, evaluate alternatives, and provide data-driven ...

Operations Research Analyst

Dayton, OH · On-site

$93K - $110K/yr

Ability to obtain required database access and manage sensitive research data. * Strong ... Analyze complex operational and management problems, evaluate alternatives, and provide data-driven ...

Operations Research Analyst

Bath, OH · On-site

$100 - $125/hr

Ability to obtain required database access and manage sensitive research data. * Strong ... Analyze complex operational and management problems, evaluate alternatives, and provide data-driven ...

$60 - $80/hr

Professor Usadel's team develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in bioeconomy, with a focus on data analysis, research data ...

EDI Data Analyst- Lead

Mason, OH · On-site

$21 - $26/hr

Ability to identify, research, and troubleshoot data discrepancies or processing errors. * Strong ... Data Analysis. * Microsoft Excel. * ANSI 834. * Electronic Eligibility File Processing.

Showing results 21-40

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 Sep 8, 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.

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 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 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.

Infographic showing various Research Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $70,318 per year, or $33.8 per hour.

Lead Data Analyst

RR Donnelley

Westlake, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


RR Donnelley rating

6.4

Company rating: 6.4 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

36th of 52 rated marketing agency


Job description

Company Description

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.

Job Description

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with clients to design, implement, and evolve marketing & data analytics programs. It leads engagements that require integration of multi-channel data, development of insights frameworks, and translates analytics into business outcomes across verticals.

Responsibilities:

  • Partner with client leaders to co-create marketing analytics strategies that support personalization, attribution, and media mix optimization.
  • Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels.
  • Lead cross-functional analytics initiatives and enterprise-wide insights projects.
  • Represent analytics expertise in insight development, client consultations, strategic planning, and solution design.
  • Provide thought leadership across domains and mentor others in advanced analytics techniques.
  • Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement.
Qualifications

Education:

  • 4 Year / Bachelors Degree In a quantitative field (Minimum)
  • Graduate Degree (Preferred)

Experience:

  • 9 years experience in Advanced Marketing or Product Analytics roles
  • Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred.
  • Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance.
  • Statistical & Modeling Acumen: Must possess a strong foundation in probability theory, as well as linear, logistic, and multinomial regression. Candidates must be able to develop custom models using modern machine learning ensembling techniques and software, as well as building custom solutions directly in R and Python.
  • Specialized Modeling: Must have experience building customer and/or store segmentation models. A forecasting background with the ability to build custom ARIMAX models, along with Marketing Mix and Multi-Touch Attribution experience, is strongly preferred. Causal analysis experience is highly desirable.
  • Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches. Ideal candidates will have developed behavioral models predicting attitudinal segments.
  • Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and to develop client-facing presentations.

Interpersonal, Leadership & Consulting Skills (Required)

  • Communication Presentation: Strong communication and storytelling skills are an absolute must for this role. Candidates must be highly comfortable presenting to Executive-level clients.
  • Consultative Problem-Solving: Able to nimbly propose solutions to client problems. Although this is not a sales role, consultative selling skills are required for success.
  • Client Engagement: Strong active listening and documentation skills are required. The individual in this role must be able to identify solutions for clients that extend beyond their current request.
  • Leadership & Autonomy: While this is an Individual Contributor role, the expectation is that the individual will be able to lead projects and oversee the work of more junior analysts. Must be highly resourceful, capable of developing relationships with Marketing Technologies/IT and Account Management, and able to independently develop solutions with minimal supervision.
  • Work Style: Thrives in a dynamic, fast-paced environment. Energized by new challenges with an optimistic outlook, resilient to changes, and nimble in shifting direction quickly as needed.

Advanced Technical Stack Tools (Flexible/Preferred)

  • Cloud & Database Platforms: Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, Microsoft Fabric, etc. Direct experience using Microsoft Fabric to build models for clients would be ideal.
  • Modern Data Stack: Strongly prefer experience with model development in a modern technology stack, specifically PySpark, Snowpark, and Pandas.
  • Data Architecture: Understanding of graph databases and NoSQL, alongside experience working with semi-structured and unstructured data, is strongly desired.
  • Data Engineering MLOps: Azure DevOps, Git, or similar version control background is essential. Must have basic data engineering skills and be comfortable collaborating with data engineers to develop production processes.
  • Web Analytics Integration: Google Analytics and BigQuery experience. Candidates must know how to integrate customer engagement data into analytic and modeling projects.
  • Business Intelligence Visualization: Familiarity with Business Intelligence solutions such as Tableau, Power BI, SiSense, and other platforms. The ideal candidate would have some skill using these tools to generate data visualizations.

Additional Information

RRD's current salary range for this role is $107,000 to $171,2000 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD’s benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.

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RRD is an Equal Opportunity Employer, including disability/veterans

At RRD, we value innovation, authenticity, and integrity. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.

All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.


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