Data Analyst

Posted 4 Hours Ago
Be an Early Applicant
Melbourne, Victoria, AUS
In-Office
Mid level
Edtech • Information Technology • Professional Services
The Role
Work with data scientists and engineers to analyse complex datasets, produce insights and visualisations, and deliver actionable recommendations. Contribute to data management, analytics best practices, and alignment with the university's data governance framework.
Summary Generated by Built In
Overview:

  • Full-timeFixed Term position until 30/07/2027 

  • Salary HEW 7 + 17% Superannuation and Flexible Working Arrangements 

  • Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University 

 

About The Position 

 
The Data Analyst works within a multidisciplinary team alongside data scientists and data engineers to deliver high-quality data and analytics solutions that support informed decision-making across the University. The role is responsible for analysing complex datasets, identifying meaningful insights, and translating data into actionable recommendations for stakeholders. The Data Analyst also contributes to the development and continuous improvement of data management and analytical practices, ensuring alignment with the University's data governance framework and best practice standards. 

 

 

To be successful in this position, you’ll have:  

 

  • Demonstrated experience and understanding of basic statistical tests, distributions, and a range of analysis techniques 

  • Demonstrated experience in data visualisation techniques to communicate key concepts and insights 

  • Strong problem-solving skills, with the ability to create, innovate and iterate solutions 

  • Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo 

  • Strong communication and interpersonal skills (oral, written and visual), particularly in triaging conflict, navigating ideation barriers, mitigating risk, fostering thought diversity, and liaising/negotiating with a range of stakeholders to achieve agreed outcomes 

  • A self-starter, with a willingness to work independently and with minimal guidance 

 

 

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. 

 

About the Office of the Chief Data and Analytics Officer 

 

Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for: 

  • Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university 

  • Defining requirements and standards for data and analytics technologies to be delivered by Information Technology 

  • Coordinating and governing data management activities for analytics and reporting 

  • Developing and coordinating advanced analytics capabilities to resolve key university challenges 

 

To Apply  

Please submit your CV and covering letter addressing the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page 

 

For further information about this position, please see the Position Description hyperlinked below or contact [email protected] 

 

Job Description – Data Analyst  

 

Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. 

 

#LI-Hybrid 

Applications Close:26 July 2026 11.59 pm

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. 


In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.  All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.  Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.

 

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via [email protected] or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.

 

We are a Circle Back Initiative Employer – we commit to respond to every applicant. 

Skills Required

  • Demonstrated experience and understanding of basic statistical tests, distributions, and a range of analysis techniques
  • Demonstrated experience in data visualisation techniques to communicate key concepts and insights
  • Strong problem-solving skills with ability to create, innovate and iterate solutions
  • Intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo
  • Strong communication and interpersonal skills (oral, written and visual) and stakeholder liaison/negotiation ability
  • Ability to work independently as a self-starter with minimal guidance
  • Appointment subject to passing a Working With Children Check and National Police Check
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The Company

What We Do

RMIT University is a global university of technology, design, and enterprise that focuses on industry-connected learning and research.

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