Enrolment & Scheduling Insights Analyst

Te Whiwhinga mahi The opportunity

We are seeking an experienced Enrolment & Scheduling Insights Analyst to join the Timetabling and Enrolment team within Students and Scholarly Services.

In this role you will improve the quality and efficiency of enrolment timetabling concessions and room booking processes through advanced analysis reporting and forecasting. You will play a vital role in supporting operational and strategic decision making by identifying improvement opportunities and providing accurate actionable insights.

Key responsibilities include:

• Analysing enrolment timetabling concessions and room booking data to identify issues and opportunities.
• Producing reports and dashboards to inform decision-making and track key KPIs.
• Conducting scenario-based modelling to assess the impact of changes in enrolment and timetabling.
• Providing insights to ensure enrolment forecasts align with timetabling and space planning needs.
• Recommending and implementing improvements to systems reporting and processes.
• Building strong relationships with faculty and service division stakeholders IT and system vendors.
• Maintaining expertise in scheduling and enrolment systems data governance and reporting tools.

This is a full-time 37.5 hours per week permanent role. The salary range for this role is $72000 - $88900 per annum depending on experience and qualifications.

For more information please view the position description.

Mō tō mātou rōpū About the team

The Timetabling and Enrolment team is part of Students and Scholarly Services which supports the Universitys academic mission by delivering high-quality services across the student lifecycle. The team plays a key role in ensuring that enrolment scheduling and resource allocation processes are efficient effective and aligned with student and faculty needs.

He kōrero mōu About you

You will bring strong analytical and reporting skills with experience in enrolment timetabling or scheduling in a tertiary or similar environment.

You will also bring:

• A bachelors degree (essential) with preference for IT statistics information systems or computer science.
• At least 3 years experience in scheduling data analysis or reporting roles.
• Demonstrated expertise in timetabling and student management systems (e.g. Syllabus Plus PeopleSoft).
• Advanced Excel skills and familiarity with databases and reporting tools.
• Strong written and verbal communication skills able to present complex data clearly.
• Proven ability to build collaborative working relationships with diverse stakeholders.
• A commitment to equity Te Tiriti o Waitangi and inclusive practice.

Preferred:

• Experience with data visualisation tools (e.g. Power BI).
• SQL or scripting experience.
• Knowledge of tertiary programme and course structures.

Me pēhea te tuku tono How to apply

Applications must be submitted online by 19/10/2025 to be considered. Please include your CV and a cover letter outlining your relevant skills and experience.

We may close this advert earlier if a suitable candidate is identified.

For a confidential conversation please contact Allan Chang - . Please note that we do not accept applications via email.

Additional Information :

To be considered for this role you must be eligible to work in New Zealand or hold a valid New Zealand work visa.

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe inclusive and equitable environment. For further information on services for Māori Pacific women LGBTQITakatāpui people with disabilities parenting support flexible work and other equity issues go to .

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe inclusive and equitable environment.  For further information on services for Māori Pacific women LGBTQIATakatāpuiMVPFAFF people with disabilities parenting support flexible work and other personal circumstances go to 

Remote Work :

No

Employment Type :

Full-time