Senior Data Analyst - Strategy, Analytics and Reporting Office
Approved
Salary not disclosed — see roles that show pay.
About the role
VICE-CHANCELLOR'S OFFICE | TE TARI O TE TUMU WHAKARAE
STRATEGY, ANALYTICS AND REPORTING OFFICE | KARU KAI-NŪKERE, RINGA PĀRONGO
The role | Te mahi
This is an exciting opportunity for someone who enjoys working with data, solving complex problems, and working as part of a team to find new ways to turn information into meaningful insights.
As Senior Data Analyst, you will use a mix of traditional and emerging technologies to strengthen the University’s approach to forecasting, improve how data and insights are shared amongst staff and students, and develop insights that contribute to the achievement of the University’s strategic plan.
Key responsibilities include:
• Utilise machine learning and AI techniques to improve how forecasts and insights are developed and shared throughout the University.
• Work as part of a cross-University team to support the development of learner insights dashboards and early intervention approaches.
• Develop and manage risk calculations related to forecasts and student success.
• Develop models and reports that support and enforce data governance principles and policies, such as privacy, Māori Data Sovereignty, and maintaining client welfare.
Your skills and experience | Kā pūkeka me kā wheako
You’ll bring:
• A relevant degree and experience in statistics, data science or a related area.
• Strong skills in R or Python and SQL for data analysis and modelling.
• Experience with forecasting, time-series analysis and applying AI or machine learning in a professional environment.
• The ability to communicate complex technical information clearly to non-technical audiences.
Experience with Databricks would be an advantage, but isn’t essential.
Most importantly, you’ll be collaborative, team-focussed, and interested in finding new and practical ways to use data and technology to support better decisions.
About the team | Mō te tīma
You’ll join the Strategy, Analytics and Reporting Office, working collaboratively with staff across the University to strengthen how data and insights are used to support planning and decision-making.
Further details | Pūroko
This is a full-time (37.5 hours per week), permanent position located in Ōtepoti, Dunedin.
The University is offering a remuneration level commensurate with the responsibilities of the position.
You must have the right to live and work in New Zealand to apply for this position.
For further information regarding the role, please contact Kevin Maley, via the contact details below.
Application | Tono
To submit your application, including a CV and cover letter, please click the apply button. Applications quoting reference number 2601658 will close on Wednesday. 25 November 2026.
Applications may be reviewed as submitted and candidates may be invited to interview immediately. The University reserves the right to close this vacancy at any time.
Additional Information
Contact: Kevin Maley
Position details: Job Description
Further Information: Department Website
Create an email with a link to this vacancy: Create email
Location: About Dunedin
Primary Location
NZL-SI-Dunedin
Employment Status
Permanent
Salary Level and Range
The University is offering a remuneration level commensurate with the responsibilities of the position.
Organisation
Strategy, Analytics and Reporting Unit
Job Function
Business and Systems Analyst
STRATEGY, ANALYTICS AND REPORTING OFFICE | KARU KAI-NŪKERE, RINGA PĀRONGO
The role | Te mahi
This is an exciting opportunity for someone who enjoys working with data, solving complex problems, and working as part of a team to find new ways to turn information into meaningful insights.
As Senior Data Analyst, you will use a mix of traditional and emerging technologies to strengthen the University’s approach to forecasting, improve how data and insights are shared amongst staff and students, and develop insights that contribute to the achievement of the University’s strategic plan.
Key responsibilities include:
• Utilise machine learning and AI techniques to improve how forecasts and insights are developed and shared throughout the University.
• Work as part of a cross-University team to support the development of learner insights dashboards and early intervention approaches.
• Develop and manage risk calculations related to forecasts and student success.
• Develop models and reports that support and enforce data governance principles and policies, such as privacy, Māori Data Sovereignty, and maintaining client welfare.
Your skills and experience | Kā pūkeka me kā wheako
You’ll bring:
• A relevant degree and experience in statistics, data science or a related area.
• Strong skills in R or Python and SQL for data analysis and modelling.
• Experience with forecasting, time-series analysis and applying AI or machine learning in a professional environment.
• The ability to communicate complex technical information clearly to non-technical audiences.
Experience with Databricks would be an advantage, but isn’t essential.
Most importantly, you’ll be collaborative, team-focussed, and interested in finding new and practical ways to use data and technology to support better decisions.
About the team | Mō te tīma
You’ll join the Strategy, Analytics and Reporting Office, working collaboratively with staff across the University to strengthen how data and insights are used to support planning and decision-making.
Further details | Pūroko
This is a full-time (37.5 hours per week), permanent position located in Ōtepoti, Dunedin.
The University is offering a remuneration level commensurate with the responsibilities of the position.
You must have the right to live and work in New Zealand to apply for this position.
For further information regarding the role, please contact Kevin Maley, via the contact details below.
Application | Tono
To submit your application, including a CV and cover letter, please click the apply button. Applications quoting reference number 2601658 will close on Wednesday. 25 November 2026.
Applications may be reviewed as submitted and candidates may be invited to interview immediately. The University reserves the right to close this vacancy at any time.
Additional Information
Contact: Kevin Maley
Position details: Job Description
Further Information: Department Website
Create an email with a link to this vacancy: Create email
Location: About Dunedin
Primary Location
NZL-SI-Dunedin
Employment Status
Permanent
Salary Level and Range
The University is offering a remuneration level commensurate with the responsibilities of the position.
Organisation
Strategy, Analytics and Reporting Unit
Job Function
Business and Systems Analyst