Enrollment Analytics Developer

CSU Careers•Northridge, CA

20h•Hybrid

About The Position

Under the general supervision of the Associate Director of Institutional Research, the Enrollment Analytics Developer contributes to campus-wide enrollment planning and student success initiatives. The incumbent designs and develops structured datasets, dashboards, and predictive models that support enrollment target setting, course planning, and registration forecasting. Develops, maintains, and validates structured data products and models that support institutional enrollment reporting and planning. Supports the production of internal and external enrollment reports, dashboards, and analysis files. Ensures consistency with census and CSU reporting standards. Develops and maintains dashboards, visualizations, and backend data sources related to registration, student flow, and instructional capacity. Ensures data assets are reliable and regularly refreshed. Responds to regularly occurring data requests and supports customized analyses as needed by Academic Affairs and other areas. Translates data requests into repeatable processes where possible. Designs and maintains analytic views, stored queries, and logic for derived student and course-level data across IR systems. Participates in quality assurance and documentation. Performs other duties as assigned.

Requirements

Equivalent to a bachelor's degree in a related field and two years of relevant experience.
Advanced proficiency in SQL and data modeling, including the ability to develop, validate, and maintain structured datasets aligned with institutional reporting standards.
Expertise in data visualization tools (e.g., Tableau, QuickSight) with demonstrated capability to create, maintain, and regularly refresh dashboards and backend data sources related to student enrollment and institutional capacity.
Strong analytical and problem-solving skills, with demonstrated ability to efficiently respond to data requests, deliver customized analyses, and translate recurring inquiries into sustainable, automated processes.
Strong data interpretation, as well as oral and written communication skills.
Excellent technical documentation and quality assurance practices, including experience designing analytic views, stored queries, and ensuring the integrity and reliability of student and course-level data systems.
Applicants must be authorized to work for any employer in the United States.

Nice To Haves

Bachelor’s in Data Science, Computer Science, Information Systems, or Quantitative Social Science is highly desirable.
An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.
Four (4) years of full-time experience in data analytics or institutional research.
Familiarity with federal and state data collection/reporting systems.
Experience with campus Student Information Systems (e.g., PeopleSoft Campus Solutions).
Predictive modeling experience.

Responsibilities

Designs and develops structured datasets, dashboards, and predictive models that support enrollment target setting, course planning, and registration forecasting.
Develops, maintains, and validates structured data products and models that support institutional enrollment reporting and planning.
Supports the production of internal and external enrollment reports, dashboards, and analysis files.
Ensures consistency with census and CSU reporting standards.
Develops and maintains dashboards, visualizations, and backend data sources related to registration, student flow, and instructional capacity.
Ensures data assets are reliable and regularly refreshed.
Responds to regularly occurring data requests and supports customized analyses as needed by Academic Affairs and other areas.
Translates data requests into repeatable processes where possible.
Designs and maintains analytic views, stored queries, and logic for derived student and course-level data across IR systems.
Participates in quality assurance and documentation.
Performs other duties as assigned.