Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
University of Texas Rio Grande Valley seeks an Advancement Data Analyst in Edinburg, TX to maintain donor and alumni data within the CRM. You will analyze data imports, create queries, and generate reports to support fundraising and alumni relations.
You will collaborate with IT and campus teams to test field integrations, document processes, and ensure data confidentiality for decision making purposes. Strong SQL and FetchXML skills; experience with CRM systems and data quality initiatives is
Office Location
The University of Texas Rio Grande Valley
1201 W. University Drive
Human Resources
MASS Building 2 nd Floor
Edinburg, TX 78539
Edinburg: (956)665-2451
Brownsville: (956) 882-8205
Office hours:
Monday-Friday
8:00a.m. - 5:00p.m.
Faculty Recruitment:
College of Engineering & Computer Science: cecs@utrgv.edu
Robert C. Vackar College of Business & Entrepreneurship: cobe@utrgv.edu
Dear Applicant,
Human Resources will not be held responsible for redacting any confidential information from the documents you attach with your application. The confidential information includes the following:
*Date of Birth
*Social Security Number
*Gender
*Ethnicity/Race
Please make sure that you omit this information prior to submission. We are advising that Human Resources will be forwarding your application to the department as per your submission.
If you have any questions, please do not hesitate to contact us at (956)665-8880 and/or careers@utrgv.edu.
Posting Number SRGV9199
Working Title ADVANCEMENT DATA ANALYST
Number of Vacancies 1
Department Advancement Services
FTE 1.0
FLSA Exempt
To maintain the accuracy and integrity of donor and alumni data within the CRM database by analyzing and managing data imports, reporting, analytics, system testing, and data quality. To support fundraising efforts, alumni relations, and advancement operations through data management, reporting, and continuous improvement of CRM processes while ensuring data confidentiality for decision making purposes.