Strategic Scheduling Analyst (Remote)

Texas A&M University; Corpus Christi (TX); Hybrid; USD 54,000 - 66,000; Full time

Job summary

Texas A&M University - Corpus Christi is seeking a Scheduling Analyst to produce data‑driven course schedules, coordinate with colleges, and ensure accuracy in classroom assignments. The role blends analytics with operational scheduling to support academic planning.

The position emphasizes data integrity, cross‑department collaboration, and routine data audits, with potential for remote work and flexible scheduling as needed to support commencement and university programs.

Qualifications

• Bachelor’s degree in a related field and two years of related experience; Master’s degree may substitute for the experience requirement.
• Strong attention to detail and organizational skills; proficient in Microsoft Office Suite.
• Excellent written and verbal communication skills; ability to work non-standard hours as needed.

Responsibilities

• Produce a student-centered academic course schedule based on predictive and historical data analysis and collaborate with academic colleges and departments on revisions.
• Manage workflow with departments to ensure schedule accuracy and alignment with policies; validate data across scheduling software and SIS in collaboration with IT.
• Perform data entry, validation, and edits for course schedules and room assignments; audit data integrity and serve as primary contact for scheduling questions.

Skills

Attention to detail

Organizational skills

Microsoft Office

Written communication

Verbal communication

Education

Bachelor’s degree in a related field

Master’s degree in a related field

Tools

Banner Student Information System

Ad Astra scheduling

Job description

Texas A&M University - Corpus Christi is seeking a Scheduling Analyst to produce data‑driven course schedules, coordinate with colleges, and ensure accuracy in classroom assignments. The role blends analytics with operational scheduling to support academic planning.

The position emphasizes data integrity, cross‑department collaboration, and routine data audits, with potential for remote work and flexible scheduling as needed to support commencement and university programs.