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• Employment Type: 6-month fixed term – Full Time or Part Time 

• Remuneration: $103,866 - $110,801 Full Time Equivalent + 17% superannuation  

• Location: Kensington UNSW Campus (hybrid)  

Why Your Role Matters 

This role is a 6-month funded contract, working within the Educational Data & Insights team at UNSW. You’ll support the university by analysing student experience and education data, helping leaders make informed, evidence-based decisions that improve teaching and learning. 

You’ll play an important part in: 

• Collecting and analysing data from student surveys (QILT), to identify key trends and insights about student feedback 

• Preparing clear reports to help university staff understand what students are saying and how different groups of students are represented in the feedback 

• Performing statistical analyses—such as segmentation, driver analysis, SEM, and hierarchical linear modelling—to group students, identify feedback drivers, and examine relationships between indicators, uncovering what matters most to them 

• Reviewing written qualitative feedback to find common themes and pinpoint where UNSW can improve 

• Helping develop ways to summarise students' comments using Generative AI tools, ensuring these are used thoughtfully and ethically 

• Working closely with your team and responding flexibly to the tasks and guidance set by the Manager, Educational Data & Insights 

This position does not have any direct management responsibilities. Your main goal will be to turn complex student feedback into clear, actionable insights that help UNSW enhance the student experience. 

Who You Are 

We are looking for someone who is aligned with UNSW’s vision and values, able to communicate findings to relevant audiences and who comes with: 

• Confidence in statistical methods and analysis 

• Previous experience manipulating complex, large datasets and translating them into meaningful insights 

• Ability to analyse and validate datasets using statistical techniques, identifying patterns and relationships to support data-driven insights 

• Experience applying various research methods alongside data management and quality control 

• Fluency in R or in another modern data-science language such as Python 

• Relevant tertiary qualification and experience in Statistics, Data Science, Business, Psychology, Education, Social Sciences or a related field could be relevant 

Working hours are flexible — although funded fulltime, parttime arrangements are welcome. Please specify your availability and preference in your application. This is a hybrid role operated during business hours– not fully remote and no weekend or evening work. 

Candidates will need to have ongoing working rights – this role is not available for sponsorship.  

Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.  Our benefits include:  

• Access to up to 17% Superannuation contributions and additional leave loading payments  

• Additional 3 days of leave over the end of the year period  

• Discounts and entitlements (retail, education, fitness) 

Recruitment process: Please submit your resume as well as cover letter that addresses your interest and skills and experience that you believe would make you successful. You will also be asked a couple of additional questions about your experience when applying. 

Applications close:  12 August 7PM. We reserve the right to close the application earlier.

Get in touch for any question or support: Anne de Voronine, Talent Acquisition Associate, a.de_voronine@unsw.edu.au  

Applications cannot be accepted if sent directly to the contact listed