Data Analyst – Student Success – DIS – req12506
Job Description
About the job
If you are a TRS or ORP retiree please contact Employment at employment@alamo.edu for clarification on eligibility of this position.
Posting closes on: 4/25/2025 at 6:00pm CST
The date after which applications are not guaranteed review is 04/05/2025
The Alamo Colleges District is an award-winning collective of five colleges in the Greater San Antonio area whose mission is to empower our diverse communities for success. As a district of Hispanic-Serving Institutions (HSIs) and the nation’s only HSI and Historically Black College and University (HBCU), our colleges serve more than 70,000+ students annually with a focus on economic and social mobility.
Our Alamo College District learner community, of 71,132 students, includes 47.2% who rely on financial aid, 41.0% who are first-generation in college; 4.3% who are veterans, and 25.1% who are over age 25.
The Alamo Colleges has a proven track record of success in training workers that local employers need to stay competitive and carries the designation as the #1 provider of workforce education in the region.
Hours per Week: 40
Hourly or Salaried: Salary
Funding source: Grant Funded
Number of opening: 1
Benefits Eligible: Yes
Location: Special Projects
2222 N. Alamo St.
San Antonio, Texas, 78215
United States
Job Summary And Description
Supports the operation of Student Success advising functions through project management, data analysis, workforce communication, and provides administrative recommendations (to include providing timely information availability and quality) to others inside or outside Alamo Colleges that will be used to make decisions.
Qualifications
To view a complete job description, click here.
Minimum Education and Experience:
- Bachelor’s degree or a combination of relevant experience, education and training that equates to the required degree.
- Three years’ of experience in project management, report writing, data analysis, application development and database design and maintenance or related field.
Preferred Education and Experience:
- Master’s degree.
- Degree in business, statistics or a related field.
- Five years of experience in developing complex reports and reporting systems.