Associate Data/ Metadata Analyst
OCLC —Dublin, OH
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid parental leave
- Health insurance
10d
Engineer – Reliability & Configuration
Wendy's —Dublin, OH
- $74,000 - $126,000 a year
- Remote
- Computer science
- Computer Science
- Bachelor of Science
- Parental leave
- Employee assistance program
3d
Junior AI Developer- Columbus, OH
Interim HealthCare —Columbus, OH
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Software troubleshooting
Quick Apply
8d
Software Support Specialist I
Vargo Integrated Systems —Dublin, OH
- Full-time
- Computer science
- Computer Science
- Bachelor's degree
- Paid holidays
- Disability insurance
Quick Apply
Engineer – Reliability & Configuration
The Wendy's Company —Dublin, OH
- $74,000 - $126,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Bachelor of Science
- Parental leave
- Employee assistance program
3d
Software Engineer, Associate (NJUS)
NetJets —Columbus, OH
- Computer Science
- Office
- Bachelor's degree
- Health savings account
- Disability insurance
Technology Designer New Graduate | Columbus, OH
IMEG Corp. —Columbus, OH
- $75,000 - $77,000 a year
- Full-time
- Microsoft Excel
- Microsoft Outlook
- Computer Science
- Profit sharing
- Wellness program
1d
Associate AI Engineer
JumpMind, LLC —Columbus, OH
- Azure
- Computer Science
- Mid-level
Quick Apply
2d
Sales Development Program - Technical Sales
Vertiv —Columbus, OH
- Computer science
- Computer Science
- Office
Sales Development Program -Thermal Technical Sales
Vertiv —Delaware, OH
- Computer science
- Computer Science
- Office

Discover related jobs

Based on your search for computer science new grad jobs.

Junior AI Developer- Columbus, OH
Interim HealthCare —Columbus, OH
This entry-level role works under the guidance of senior technical staff and uses AI-assisted development tools, including GitHub Copilot or Claude, to…
Quick Apply
8d
Software Engineer, Associate (NJUS)
NetJets —Columbus, OH
Bachelor's degree in, Computer Science, Information Systems, or an equivalent engineering field. Drive implementation of software through analysis and design…

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Associate Data/ Metadata Analyst
OCLC —Dublin, OH
Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
10d
Engineer – Reliability & Configuration
Wendy's —Dublin, OH
Design, develop, and implement software ensuring high system availability while following industry best practices. Adheres to all IT methodology standards.
$74,000 - $126,000 a year
3d

I want to receive the latest job alert for computer science new grad in columbus

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

computer science new grad jobs near columbus

Associate Data/ Metadata Analyst

OCLC -
Dublin, OH

Apply Now

Job Details

Full-time
10 days ago

Benefits

Paid parental leave
Health insurance
On-site gym
Tuition reimbursement
Adoption assistance
Parental leave
Loan forgiveness
Retirement plan

Qualifications

Bachelor's degree

Full 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.

Apply Now

Refine Your Search

computer science new grad jobs in columbus

Discover related jobs

Explore jobs in cities nearby

I want to receive the latest job alert for computer science new grad in columbus

Explore jobs in more locations

Together we make breakthroughs possible.

Why join OCLC?

The job details are as follows:

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:

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.