314 data "https:" "https:" "https:" "https:" "UNIV" positions at University of Oregon
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, student data/statistical analysis, veteran’s benefits, FERPA compliance, and transcript services. These responsibilities, assignments, and services are completed within institutional policies and standards
-
services as part of the Customer Service team for Conference Services. This role provides direct customer and member support across multiple service channels and assists with information management
-
describing how you meet the minimum requirements, professional competencies, and any preferred qualifications. Please submit the names and contact information of three professional references. Candidates will
-
Apply now Job no:536147 Work type:Classified Staff Location:Eugene, OR Categories:Information Technology, Computer and Information Science Department: Information Services Classification: Analyst
-
support ASUO’s committees and senate, and contributes to campus wide events and recognition programs. Success in this role requires strong communication skills, the ability to evaluate programs and use data
-
Employees Union. The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about
-
meaningful to you about the role and what transferable skills or other qualities you would bring 3. Three (3) professional references with contact information We are interested in finding the best candidate
-
high level of discretion, skill and professionalism in managing sensitive information. The incumbent will have access to confidential employee, donor and organizational data, as well as information
-
resume that clearly outlines your relevant work history, including dates of employment. This information is essential for determining whether applicants meet the minimum and preferred qualifications
-
education, quantitative methodology, or related fields (can include time during graduate-level training). • Experience with data analytics and scientific writing skills as evidenced by rigorous scholarship