Master Schedule Lead & Academic Data Analyst

Socket.dev; St. Paul (IN); On-site; USD 40,000 - 58,000; Full time

Benefits offered by this job

Pension Plan

Paid holidays

Tuition waivers

Professional development

Employee Assistance Program

Job summary

Saint Paul College invites applications for an Academic Operations Coordinator to lead master course scheduling, optimize classroom use, and drive data-informed decisions. The role focuses on improving student access, equity, and success through analytics, scheduling models, and cross-department collaboration.

The position emphasizes training, reporting, and continuous improvement with opportunities to leverage AI and emerging technologies to enhance processes and outcomes.

Qualifications

• Two years of project management experience required.
• Master’s or bachelor’s degree may substitute for experience.
• Ability to analyze enrollment and academic data and prepare clear reports.
• Strong proficiency with spreadsheet and database tools for data integration.
• Ability to present information clearly and lead change initiatives.
• Experience collaborating across faculty, administrators, and staff.
• Interest in AI and emerging technologies to improve college processes.

Responsibilities

• Direct the development and maintenance of the master course schedules including room utilization.
• Strategic Data Analysis and Decision Support for Academic and Student affairs Duties
• Coordinate and support Academic and Student Affairs projects

Skills

Project management

Data analysis

Data visualization

Reporting

Communication

Collaboration

AI awareness

Education

Master’s degree in Project Management or related field

Bachelor’s degree in related field

Associate’s degree

Tools

Spreadsheet software

Database tools

Job description

Saint Paul College invites applications for an Academic Operations Coordinator to lead master course scheduling, optimize classroom use, and drive data-informed decisions. The role focuses on improving student access, equity, and success through analytics, scheduling models, and cross-department collaboration.

The position emphasizes training, reporting, and continuous improvement with opportunities to leverage AI and emerging technologies to enhance processes and outcomes.