Associate Data/ Metadata Analyst
OCLC —Dublin, OH
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid parental leave
- Health insurance
11d
Supply Chain Analyst
Victoria's Secret —Reynoldsburg, OH
- $67,700 - $88,830 a year
- Full-time
- Mid-level
- Office
- SQL
North America Sales Strategy & Analytics Analyst
Orveon Global US LLC —Columbus, OH
- $55,000 - $83,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Finance
- Opportunities for advancement
Quick Apply
Sr. Digital Analyst
Sproutward —Dublin, OH
- Email
- Mid-level
Sr Payroll Specialist
DHL —Westerville, OH
- Senior level
- Communication skills
2d
Large Program Process and Data Senior Analyst
Vertiv —Westerville, OH
- Mid-level
- 3 years
- Bachelor's degree
Business Intelligence Senior Analyst
Huntington Bank —Columbus, OH
- Full-time
- Salesforce
- Mid-level
- Office
3d
Procurement Data Analyst
Advanced Drainage Systems —Hilliard, OH
- Full-time
- Physical & Rehabilitation Medicine
- System design
- Mid-level
- Paid parental leave
- Health savings account
18h
Data Science Senior Associate - Onboarding & Engagement Marketing Analytics
JPMorganChase —Columbus, OH
- Full-time
- Office
- SQL
- Senior level
- Health insurance
- Tuition reimbursement
Business Insights Analyst, Senior (NJUS)
NetJets —Columbus, OH
- Doctoral degree
- 5 years
- Office
- Health savings account
- Disability insurance
HRIS Analyst, Senior (NJUS)
NetJets —Columbus, OH
- Research
- Office
- Bachelor's degree
- Health savings account
- Disability insurance
The Supply and Capacity Sr. Analyst
Vertiv —Westerville, OH
- Oracle
- Mid-level
- Analysis skills
2d
Data Scientist, Senior Associate
JPMorganChase —Columbus, OH
- $123,500 - $170,000 a year
- Full-time
- Mid-level
- Office
- 3 years
- Health insurance
- Tuition reimbursement
4h
Senior Financial Analyst
Safelite Group —Columbus, OH
- Full-time
- Hybrid work
- Mid-level
- Office
- Finance
- Paid holidays
- Health insurance
Results Analyst Senior
Capital Group Companies —London, OH
- Full-time
- Customer service
- Office
- SQL
- Benefits from day one
- Retirement plan
4d
Forecasting & Capacity Planning Analyst (Warehouse)
Gifthealth Inc —Columbus, OH
- $90,000 - $100,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- 3 years
Quick Apply
Senior Analyst, Advanced Analytics: Auto Physical Damage (APD)
Liberty Mutual —Columbus, OH
- $83,000 - $157,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
8d
Senior Business Intelligence Engineer
Safelite Group —Columbus, OH
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid holidays
- Health insurance
Financial Analyst II
Safelite Group —Columbus, OH
- Full-time
- Hybrid work
- Mid-level
- Office
- 3 years
- Paid holidays
- Health insurance
8d
Senior Analyst, FP&A – Admin, Transaction & Broker Fees
CVS Health —Columbus, OH
- $46,988 - $122,400 a year
- Full-time
- Doctoral degree
- Mid-level
- Office
- Health insurance
- Dental insurance
7d

I want to receive the latest job alert for senior data visualization analyst 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

senior data visualization analyst jobs near columbus

Associate Data/ Metadata Analyst

OCLC -
Dublin, OH

Apply Now

Job Details

Full-time
11 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

senior data visualization analyst jobs in columbus

I want to receive the latest job alert for senior data visualization analyst 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.