Data & Analytics Specialist
Wooster, OH, United States • Posted June 01, 2026
Job Type:
Full-time
Location:
Wooster, OH
Posted:
June 01, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role Description
Data & Analytics Specialist
Location:
Wooster, OH, US, 44691
Job Requisition ID: 43600
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
**Your Key Responsibilities**
+ **Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.**
+ **Gather and evaluate business** needs with respect to data and develop data models that best meet the information requirements.
+ **Develop and implement concepts** for improving data-related processes, and recommend appropriate IT systems for utilization.
+ Consolidate data rules, analyze, extract and enrich data, proceed ...
Location:
Wooster, OH, US, 44691
Job Requisition ID: 43600
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
**Your Key Responsibilities**
+ **Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.**
+ **Gather and evaluate business** needs with respect to data and develop data models that best meet the information requirements.
+ **Develop and implement concepts** for improving data-related processes, and recommend appropriate IT systems for utilization.
+ Consolidate data rules, analyze, extract and enrich data, proceed ...
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