Senior Data Analyst

Melbourne, Australia
24 Nov 2017
End of advertisement period
11 Dec 2017
Contract Type
Full Time

Senior Data Analyst

  • Implement a framework  for regular management and operational reports
  • Part time 0.5, continuing role based at the Melbourne (Bundoora) campus
  • $81,184 to $89,635 per annum (pro-rated) plus up to 17% superannuation

About La Trobe

La Trobe University’s success is driven by people who are committed to making a difference. They are creative and highly motivated, pursue new ideas and create knowledge. La Trobe is one of Australia’s research leaders, and the largest provider of higher education to regional Victoria. La Trobe University turns 50 in 2017, and over the half century of its existence it has established a reputation as an innovative and accessible university, willing to take risks and take on challenges. Our teaching and research address some of the most significant issues of our time and we’re passionate about driving change through operational excellence to benefit the communities we serve.

The La Trobe Graduate Research School (GRS) aims to support a dynamic and engaged community of researchers La Trobe producing world-class research with impact in society. The GRS contributes to an inspiring research and professional development environment by providing graduate research candidates, their supervisors and all researchers with:

  • Modern, professional life-cycle candidature management and administration
  • Exciting industry, community and international engagement opportunities
  • World-class research education and development initiatives
  • Contemporary and academically rigorous research training governance and advice

About the role

In this role you will extract and analyse data and help translate this into meaningful and useful information to be used within the Graduate Research School and across La Trobe. Using Business Objects and other relevant reporting tools you will produce complex management and operational reports. You will provide advice to the Graduate Research School leadership on the availability of data and how to structure, produce and interpret reports, and liaise with relevant areas to understand data needs of both the Graduate Research School and La Trobe. You will also train staff members to run and develop basic reports.      

Skills & Experience

To be considered for this role you will have completed a Degree qualification in a relevant field with at least 4 years relevant experience or have an equivalent combination of knowledge, training and experience. You will be experienced in data modelling and analysis, using statistical packages, database systems, SPSS, Excel, Access and Business Objects. An understanding of University data sources and their uses is essential. You will also possess analytical, problem solving and information management skills and the ability to work constructively and collaboratively in a team.

Please refer to the Position Description for other skills and experience required for this role.


Please click on this link for a full list of Benefits

How to Apply

Closing date: 11 December 2017

Position Enquiries:

Dr Clare McCausland, Senior Manager, Graduate Research School +61 3 9479 3892 /

Position Description below:

This position is open to people with a valid full-time working visa.

All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.

Please address Key Selection Criteria from the attached position description and attach these with your application.

Please scroll down to apply.


La Trobe University is an Equal Opportunity Employer.

For further enquiries on how to apply for this role, please contact Kerryn Harbert, Recruitment Advisor +61 3 9479 1623.

To apply and to view position description please visit and search for job no (552917) under current vacancies.

La Trobe is proud to be a member of the SAGE Athena SWAN program to advance gender equality in academia.

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