What are the responsibilities and job description for the Data Analyst - Student Success - SAC - req14168 position at Alamo Colleges District?
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: 10/10/2026 at 6:00pm CST
Hours per Week: 40
Hourly or Salaried: Salary
Funding source: Hard Money
Number of opening: 1
Benefits Eligible: Yes
Location: Advising Services
1819 N Main Ave.
San Antonio, Texas, 78212
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:
Posting closes on: 10/10/2026 at 6:00pm CST
Hours per Week: 40
Hourly or Salaried: Salary
Funding source: Hard Money
Number of opening: 1
Benefits Eligible: Yes
Location: Advising Services
1819 N Main Ave.
San Antonio, Texas, 78212
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.
- Master’s degree.
- Degree in business, statistics or a related field.
- Five years of experience in developing complex reports and reporting systems.