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Data Associate Jobs in Ohio (NOW HIRING)

Data Scanning Associate

Burbank, OH ยท On-site

$13.75 - $18/hr

As a Research Associate, you can enjoy the flexibility of choosing when and how much you earn. All you need is reliable transportation to start making money. Why scan with RDSolutions? Choose your ...

Data Scanning Associate

Steubenville, OH ยท On-site

$14 - $18.25/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

Data Scanning Associate

Steubenville, OH ยท On-site

$14 - $18.25/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

Associate Data Analyst

Dayton, OH ยท On-site

$65 - $77/hr

Support encompasses data analysis of advanced manufacturing process data to improve efficiency and offer solutions for increased productivity. The candidate will be responsible for gathering and ...

Data Scanning Associate

Stratton, OH ยท On-site

$14 - $18.25/hr

The pricing intelligence pioneer, RDSolutions is hiring immediately in your area! Are you retired, want extra income, have extra time on your hands and want to stay active? Retirees are welcome and ...

Data Scanning Associate

Cincinnati, OH ยท On-site

$15.25 - $20/hr

Field Representatives We are immediately hiring part time Field Representatives in your area! Are you a military spouse and looking for supplemental income? Make extra spending money to help with ...

Data Scanning Associate

Coshocton, OH ยท On-site

$14.25 - $18.50/hr

Field Representative Flexible schedules, you can work within the assigned window anytime the store is open! Need to study for a final? You can move your schedule around to fit your needs! Dress is ...

Data Scanning Associate

Grove City, OH ยท On-site

$15 - $19.50/hr

The pricing intelligence pioneer, RDSolutions is hiring immediately in your area! Are you retired, want extra income, have extra time on your hands and want to stay active? Retirees are welcome and ...

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Data Associate information

See Ohio salary details

$13

$31

$53

How much do data associate jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data associate in Ohio is $31.44, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.26 per hour, depending on experience, location, and employer.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the most commonly searched types of Data jobs in Ohio?

The most popular types of Data jobs in Ohio are:

What job categories do people searching Data Associate jobs in Ohio look for?

The top searched job categories for Data Associate jobs in Ohio are:

What cities in Ohio are hiring for Data Associate jobs?

Cities in Ohio with the most Data Associate job openings:

Infographic showing various Data Associate 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 $65,403 per year, or $31.4 per hour.

Associate Data/ Metadata Analyst

Management Institute of Canada

Dublin, OH โ€ข Hybrid

Full-time

Medical, Retirement

Posted 26 days ago


Key responsibilities

  • Manage the lifecycle of bibliographic and holdings data, including ingestion, normalization, enrichment, and matching.

  • Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies, and troubleshoot data quality issues.

  • Apply existing scripts and automated workflows to process data, monitor data quality trends using dashboards, and utilize AI-assisted tools for record matching and field mapping.


Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

  • Free use of our on-site tness center, gym sports, group exercise classes, and game room

  • Onsite catering and cafeteria subsidized by OCLC

  • Health and wellness events

  • Work environments with individual and team spaces and the latest technology tools

  • Paid parental leave and adoption assistance

  • Tuition reimbursement and Public Service Loan Forgiveness eligibility

  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The job details are as follows:The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This entry-level role combines metadata expertise with developing technical skills in scripting, automation, and AI-assisted workflows. Working under regular supervision, the Associate will transition from executing well-defined tasks to taking ownership of complex data projects. This is an opportunity to develop expertise at the intersection of library data, modern data engineering, and emerging AI - in a team that invests in the growth of its people.Responsibilities:Data Operations & Quality
  • Data Lifecycle Management:Perform data ingest, normalization, enrichment, and matching according to established standards (e.g., MARC, KBART).
  • Quality Assessment:Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies.
  • Troubleshooting:Investigate and resolve data quality issues, escalating complex problems to senior staff as needed.
  • Vendor Communication:Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues.
Technical Solutions & Automation
  • Pipeline Support:Apply existing scripts and automated workflows to process data; identify inefficiencies and suggest process improvements.
  • Data Visualization:Use and interpret dashboards (e.g., Power BI) to monitor data quality trends and communicate findings.
  • AI Integration:Utilize AI-assisted tools for record matching and field mapping; contribute structured feedback that helps improve AI model accuracy over time.
Collaboration & Documentation
  • Knowledge Management:Document data source profiles, processing decisions, and technical workflows to ensure team-wide knowledge sharing.
  • Team Support:Execute foundational tasks to support senior analysts and participate in platform improvement projects.
Minimum Required Knowledge, Skills and Experience:
  • Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
  • Entry-level analytical and communication skills, with attention to data quality while working under regular supervision.
Preferred Knowledge, Skills and Experience:
  • Metadata Standards:Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME.
  • Technical Tools:Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or AWS S3).
  • Data Platforms:Conceptual familiarity with cloud data stores (e.g., Snowflake) and visualization tools (e.g., Power BI, Streamlit).
  • Emerging Tech:Interest in applying AI and linked data concepts (e.g.,Schema.org) to library data challenges.
Working Conditions: Normal office environment.ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.