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Entry Level Data Visualization Jobs in Ohio (NOW HIRING)

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

This entry-level role combines metadata expertise with developing technical skills in scripting ... Data Visualization: Use and interpret dashboards (e.g., Power BI) to monitor data quality trends ...

HR4Me

Entry Level Finance Analyst

Cincinnati, OH · On-site

... data visualization tools and Business Intelligence platforms • Bachelor's degree in Finance, Accounting, or related field • 2+ years of experience in financial planning and analysis roles Equal ...

Twine Chart

Junior Marketing Coordinator

Akron, OH

... data visualization and analytics solutions. We empower businesses to make informed decisions by ... In this entry-level position, you will play a crucial role in supporting various marketing ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our ... Experience with data visualization tools (e.g., Matplotlib, Seaborn) * Strong willingness to learn ...

Azimuth

Scientist III

Dayton, OH · On-site +1

... * Entry level or 0-2 years of software development experience, preferably in a research or ... Experience with data visualization and analysis tools. * Interest in scientific research and ...

Azimuth Corporation

Scientist III

Dayton, OH · On-site

... * Entry level or 0-2 years of software development experience, preferably in a research or ... Experience with data visualization and analysis tools. * Interest in scientific research and ...

All JobsData Visualization JobsEntry Level Data Visualization JobsEntry Level Data Visualization Jobs in Ohio

Entry Level Data Visualization information

See Ohio salary details

$10

$18

$25

How much do entry level data visualization jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level data visualization in Ohio is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.34 per hour, depending on experience, location, and employer.

What is an entry level data visualization?

An Entry Level Data Visualization job involves creating charts, graphs, and dashboards to help analyze and communicate data effectively. Professionals in this role use tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to present data in a clear and visually appealing way. They often work with data analysts and business teams to transform raw data into insights that drive decision-making. Strong analytical skills, attention to detail, and basic programming or SQL knowledge can be helpful in this role.

What are the typical day-to-day responsibilities of someone in an entry level data visualization role?

Entry Level Data Visualization professionals usually spend their days gathering data from various sources, cleaning or preparing it for analysis, and building charts, graphs, or dashboards to present findings. You’ll often collaborate with analysts, project managers, or business teams to understand project requirements and iterate on visual solutions based on feedback. Reviewing data accuracy, updating reports, and attending team meetings to discuss progress or new projects are also common. This role offers a great opportunity to sharpen both technical and communication skills while playing a key part in how your organization makes data-driven decisions.

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

To thrive as an Entry Level Data Visualization professional, you need a solid understanding of data analysis, basic statistical concepts, and visual storytelling, typically supported by a bachelor’s degree in a related field. Familiarity with tools such as Tableau, Power BI, or Excel, and basic programming knowledge in Python or R, are commonly expected and may be enhanced by certifications in data analytics or visualization. Strong communication, attention to detail, and a collaborative attitude help you explain complex data insights to diverse audiences and work effectively within cross-functional teams. These skills and qualities are essential for translating data into actionable insights and creating impactful visuals that inform business decision-making.

How to start a career in entry level data visualization?

To start a career in entry level data visualization, develop skills in data analysis, learn visualization tools like Tableau or Power BI, and gain a basic understanding of data storytelling. Building a portfolio of projects and obtaining relevant certifications can also improve job prospects.

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

The most popular types of Data Visualization jobs in Ohio are:

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

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

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

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

What cities in Ohio are hiring for Entry Level Data Visualization jobs?

Cities in Ohio with the most Entry Level Data Visualization job openings:

Entry Level Data Visualization jobs near you
Infographic showing various Entry Level Data Visualization job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $37,675 per year, or $18.1 per hour.

Associate Data/ Metadata Analyst

Online Computer Library Center

Dublin, OH • On-site

Other

Medical, Retirement

Posted 4 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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