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Entry Level Analyst Jobs in Ohio (NOW HIRING)

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings ... This entry-level role combines metadata expertise with developing technical skills in scripting ...

HR4Me

Entry Level Finance Analyst

Cincinnati, OH · On-site

Build and maintain financial models to analyze various business scenarios, including new product launches, market expansions, and cost-saving initiatives. • Performance Analysis: Monitor key ...

Parker

Pricing Analyst I

Wickliffe, OH · On-site

The Pricing Analyst I is an entry-level pricing role with primary duties involve proactively analyzing and making recommendations considering customer value-based marketing, competitive markets, and ...

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All JobsAnalyst JobsEntry Level Analyst JobsEntry Level Analyst Jobs in Ohio

Entry Level Analyst information

See Ohio salary details

$13

$36

$65

How much do entry level analyst jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level analyst in Ohio is $36.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $45.91 per hour, depending on experience, location, and employer.

What is an entry level analyst?

An Entry Level Analyst is a professional who collects, processes, and analyzes data to support business decision-making. They work in various industries, including finance, consulting, and technology, assisting with reporting, research, and strategy development. Their tasks may include data cleaning, trend analysis, and creating presentations for stakeholders. Strong analytical skills, attention to detail, and proficiency in tools like Excel or SQL are often required. This role serves as a foundation for growth into more specialized or senior analytical positions.

What are some common career paths for someone starting as an entry level analyst?

Starting as an Entry Level Analyst opens doors to a variety of career paths, including moving into more specialized roles such as Data Analyst, Financial Analyst, Business Intelligence Analyst, or even Project Manager. As you gain experience, demonstrate strong analytical abilities, and learn industry-specific tools, you may find opportunities to advance into senior or lead analyst positions, or transition into strategy, consulting, or managerial roles. Many companies support ongoing training and offer mentorship programs to help early-career analysts expand their skills. This role is a great way to build a solid foundation in data-driven decision-making and business operations.

What are the key skills and qualifications needed to thrive in the entry level analyst position, and why are they important?

To thrive as an Entry Level Analyst, you need strong analytical thinking, proficiency in quantitative analysis, and typically a bachelor’s degree in a related field such as finance, business, or data science. Familiarity with Excel, data visualization tools (like Tableau or Power BI), and statistical software (such as SQL or Python) is often expected. Effective communication, attention to detail, and strong problem-solving skills help analysts stand out in this position. These abilities are important for accurately interpreting data, deriving actionable insights, and collaborating effectively across teams.

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

The most popular types of Analyst jobs in Ohio are:

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

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

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

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

What cities in Ohio are hiring for Entry Level Analyst jobs?

Cities in Ohio with the most Entry Level Analyst job openings:

Entry Level Analyst jobs near you
Infographic showing various Entry Level Analyst job openings in Ohio as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $76,388 per year, or $36.7 per hour.

Associate Data/ Metadata Analyst

Dublin, OH • On-site

OCLC, Inc.
1 - 5K employees
Learn more about OCLC, Inc.external

Full-time

Medical, Retirement

Posted 14 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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