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A leading public university in Victoria is seeking a Lead, Student Load Optimisation to analyze data and transform it into actionable insights that enhance university performance. The ideal candidate will hold postgraduate qualifications and demonstrate extensive experience in statistical analysis and report development. This role promises diverse collaboration and engagement in strategic decision-making to improve academic and financial objectives.
Job no: 577431
Work type: Full-time
Location: Geelong - Waurn Ponds, Melbourne - Burwood
Categories: Information Technology
Who are we?
Deakin is a cutting-edge public university in Victoria, revolutionising education with 61,000 students across seven campuses: Melbourne Burwood, Geelong Waurn Ponds, Geelong Waterfront, Warrnambool, Deakin University Lancaster University Indonesia (DLI), GIFT City, India and our dynamic online Campus. We're proud to be a progressive and open-minded university, delivering the highest student satisfaction in Victoria and consistently ranked in the top 1% of the world's universities.
About the role
The Lead, Student Load Optimisation plays a pivotal role in processing and analysing data and information from business, internal systems and external sources and transforming this data into actionable insights that inform business decisions to improve university performance. This position will contribute to ensuring that the university effectively manages student load and academic resources, supports strategic enrolment goals, and enhances overall institutional efficiency. The Lead will work closely with various departments to develop data-driven insights and strategies that align with the university’s academic and financial objectives.
As a Lead, you will:
To be successful, you’ll have:
We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.
Please submit your updated resume along with a brief cover letter outlining your relevant skills and experience. For a confidential discussion regarding this role, please contact Bhavika Patel (Senior Manager, Student Load Optimisation) via email. Applications for this position close on 17th October 2025.