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Entry Level Compensation Analyst Jobs in Ohio (NOW HIRING)

FirstEnergy Corp.

Load Forecasting Analyst

Akron, OH · On-site

$62K - $121K/yr

This individual supports the financial forecasting and analysis specific to the regulated ... Excellent time management skills Benefits, Compensation & Workforce Diversity At FirstEnergy ...

FirstEnergy

Load Forecasting Analyst

Akron, OH · On-site

$62K - $121K/yr

This individual supports the financial forecasting and analysis specific to the regulated ... Excellent time management skills Benefits, Compensation & Workforce Diversity At FirstEnergy ...

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Entry Level Compensation Analyst information

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$37

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How much do entry level compensation analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level compensation analyst in Ohio is $37.05, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $42.07 per hour, depending on experience, location, and employer.

What is an entry level compensation analyst?

Entry level compensation analysts are professionals who assist organizations in developing, implementing, and evaluating compensation programs to ensure competitive and equitable pay structures. They typically analyze salary data, prepare reports, and support senior analysts or HR teams in making salary recommendations. These roles often involve research, data analysis, and ensuring company compliance with federal and state compensation regulations. Entry level positions provide foundational experience for a career in compensation and benefits analysis.

What are the key skills and qualifications needed to thrive as an entry level compensation analyst?

To thrive as an Entry Level Compensation Analyst, you need strong analytical skills, attention to detail, and a relevant bachelor’s degree such as in human resources, finance, or business. Familiarity with compensation management software, Excel, and HRIS systems is typically required. Effective communication, problem-solving, and the ability to handle confidential information set standout candidates apart. These skills ensure accurate compensation analysis, data-driven recommendations, and confidentiality, which are crucial for supporting fair and competitive pay practices.

What are some common challenges that entry level compensation analysts face when interpreting salary data?

Entry-level compensation analysts often encounter challenges such as dealing with inconsistent or incomplete data, understanding the nuances of different pay structures, and accurately benchmarking roles across various industries. It can take time to develop the judgment needed to identify outliers and ensure data integrity. Collaborating with more experienced team members and utilizing robust compensation survey tools can help new analysts build confidence and accuracy in their analyses.

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

The most popular types of Compensation Analyst jobs in Ohio are:

What are popular job titles related to Entry Level Compensation Analyst jobs in Ohio?

For Entry Level Compensation Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Compensation Analyst jobs in Ohio look for?

The top searched job categories for Entry Level Compensation Analyst jobs in Ohio are:

Entry Level Compensation Analyst jobs near you
Infographic showing various Entry Level Compensation Analyst job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,055 per year, or $37 per hour.

Associate Data/ Metadata Analyst

Online Computer Library Center

Dublin, OH • On-site

Other

Medical, Retirement

Posted 5 days ago

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. We recognize 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 fitness 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.

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