Wait, What Do You Do?

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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:Responsible for complex data analysis, evaluation, modification and maintenance of data throughout its life cycle following appropriate standards and policies. Communicate with external data providers & members to resolve data issues.

Responsibilities

Performs hands-on data research on bibliographic and system log data; investigates, troubleshoots, and resolves data quality issues.
Develops effective dashboards including related KPIs/ metrics for visual analysis.
Analyzes existing dashboards using performance tuning, and works with colleagues to identify opportunities for process improvements.
Provides input for data science and machine learning projects.
Collaborates with team members and communicates relevant information.

Minimum Required Knowledge, Skills and Experience:

Bachelor's degree in computer science, math, statistics, or related field with three years of appropriate experience; OR, five years experience with data analysis or creation of library data.
Strong analytical and communication skills, with high attention to data quality; enjoys solving data problems while working with some ambiguity

Preferred Knowledge, Skills and Experience:

Experience with library data and library standards (e.g., MARC, KBART, COUNTER, BIBFRAME, etc.).
Experience with data visualization tools (e.g. Tableau, PowerBI, etc.).
Experience with query languages or computer programing languages (e.g. SQL, R, Python, XSLT, Perl, etc.
Experience with secure data transfers (e.g. FTP, s-FTP, OAI-PMH. HTTPS, Amazon S3, external media, etc.).
Experience with data stores (e.g. Snowflake, etc.).
Passion for data quality and streamlined processes.

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.

Data Analyst

Responsibilities

Performs hands-on data research on bibliographic and system log data; investigates, troubleshoots, and resolves data quality issues.

Develops effective dashboards including related KPIs/ metrics for visual analysis.

Analyzes existing dashboards using performance tuning, and works with colleagues to identify opportunities for process improvements.

Provides input for data science and machine learning projects.

Collaborates with team members and communicates relevant information.

Minimum Required Knowledge, Skills and Experience:

Bachelor's degree in computer science, math, statistics, or related field with three years of appropriate experience; OR, five years experience with data analysis or creation of library data.

Strong analytical and communication skills, with high attention to data quality; enjoys solving data problems while working with some ambiguity

Preferred Knowledge, Skills and Experience:

Experience with library data and library standards (e.g., MARC, KBART, COUNTER, BIBFRAME, etc.).

Experience with data visualization tools (e.g. Tableau, PowerBI, etc.).

Experience with query languages or computer programing languages (e.g. SQL, R, Python, XSLT, Perl, etc.

Experience with secure data transfers (e.g. FTP, s-FTP, OAI-PMH. HTTPS, Amazon S3, external media, etc.).

Experience with data stores (e.g. Snowflake, etc.).

Passion for data quality and streamlined processes.

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.