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Associate Data Analyst Internship Jobs in Ohio (NOW HIRING)

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings ... Bachelor's degree in computer science, math, statistics, or related field and internship experience ...

Data Analyst

Dayton, OH · On-site

$28 - $36/hr

Associate's or Bachelor's degree in Data Analytics, Information Systems, Business, or a related field preferred * High School Diploma/GED required * 2+ years of experience in data analysis, reporting ...

Associate Data Scientist

Dublin, OH · On-site

$56K - $57K/yr

As an Associate Data Scientist you will work with stakeholders throughout the organization to ... Perform exploratory data analysis for quality assurance, reporting, and to inform the development ...

Data Analyst

Mason, OH · On-site

$65/hr

Data Analyst Operations Requisition Details # of positions Needed: - 4 Job Title - Data Analyst ... Associate degree or equivalent experience required. * At least 5 years of experience working within ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3 ... say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3 ... say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3 ... say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the ...

... Customer Data Analyst plays a critical role in understanding and improving the health of our ... say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the ...

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Associate Data Analyst Internship information

What does an associate data analyst intern do?

An Associate Data Analyst Intern supports the data analysis team by collecting, cleaning, and interpreting data to help inform business decisions. Typical tasks include creating reports, visualizing data trends, and assisting with data quality checks. Interns often work closely with experienced analysts and may use tools like Excel, SQL, or data visualization software. This role provides hands-on experience in data management and analytics, making it a great entry point for a career in data analysis.

What are the key skills and qualifications needed to thrive as an associate data analyst intern?

To thrive as an Associate Data Analyst Intern, you need foundational skills in data analysis, statistics, and a basic understanding of business concepts, often supported by coursework in mathematics, statistics, or related fields. Familiarity with analytical tools like Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting decision-making, and contributing to meaningful business insights.

What types of projects and responsibilities can I expect during an associate data analyst internship?

As an Associate Data Analyst Intern, you can expect to work on a variety of data-driven projects, such as cleaning and organizing large datasets, generating reports, and assisting in the development of dashboards. You may be responsible for supporting senior analysts with ad-hoc data requests, conducting basic statistical analyses, and visualizing key findings to inform business decisions. Collaboration is common; you’ll likely work closely with team members from analytics, engineering, and business units, providing you with exposure to different parts of the organization.

What is the difference between Associate Data Analyst Internship vs Data Analyst?

AspectAssociate Data Analyst InternshipData Analyst
Required CredentialsEnrolled in or recent graduate of related degree programsBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporaryFull-time professional role in various industries
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Permanent positions across multiple sectors
Search & Comparison IntentUnderstanding entry-level internship opportunitiesSeeking full-time data analysis roles

The Associate Data Analyst Internship is an entry-level, temporary position designed for students or recent graduates gaining initial experience. In contrast, a Data Analyst is a full-time professional role requiring more experience and often a degree. Internships serve as a stepping stone toward a full Data Analyst position, which involves more responsibilities and independence in data analysis tasks.

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

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

What cities in Ohio are hiring for Associate Data Analyst Internship jobs?

Cities in Ohio with the most Associate Data Analyst Internship job openings:

Infographic showing various Associate Data Analyst Internship job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

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.