Data Analyst

Expression of Interest: Data Analyst

Job No.: 698881

Location: Clayton campus

Employment Type: Full-time

Duration: Fixed-term appointment until 31 December 2026

Remuneration: $110,527 - $121,227 pa HEW Level 07 (plus 17% employer superannuation)

• Use your analytical expertise to support strategic decision-making across the Faculty of Arts
• Work with complex data to deliver meaningful insights, modelling and reporting
• Short-term internal opportunity to broaden your experience and stakeholder exposure

The Opportunity

An internal Expression of Interest is invited for the position of Data Analyst within the Arts Planning and Performance team, Faculty of Arts.
Reporting to the Senior Planning and Performance Analyst, the Data Analyst provides analytical services to support the business and strategic priorities of the Faculty. Working closely with finance teams and other stakeholders, you will use quantitative and qualitative analysis, modelling, forecasting and reporting to provide insights and recommendations that support informed decision-making.
In this role, you will:

• coordinate and deliver analysis to support business planning, improvement initiatives and strategic decision-making
• undertake modelling, forecasting, benchmarking and quantitative and qualitative analysis
• develop specialised reports, recommendations and advice for senior management and other stakeholders
• support the integrity, collation and analysis of data from systems including Kronos, STLAR, Power BI, Callista, Google BigQuery and Databricks
• contribute to improved data processes, methodologies, frameworks and reporting practices
• build effective relationships across business units and contribute to collaborative and cross-functional initiatives

We are looking for someone with strong analytical and problem-solving capability who is comfortable working with large and complex datasets and translating technical information into clear, practical insights for non-technical stakeholders.
Experience in business intelligence or business analysis, data modelling and forecasting is important, together with strong capability in data extraction, manipulation and visualisation. Experience with technologies such as SQL, Excel, Power Query, Power Pivot, Power BI, Python or R Studio will be highly regarded. Experience with financial modelling is also desirable.
Strong communication and stakeholder management skills will be important, including the ability to present complex information clearly, develop succinct reports and recommendations, and effectively engage and influence stakeholders.

About Monash University

At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.

We value difference and diversity. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.

Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.

In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.

Learn more about Monash.

Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. 

Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

To Apply

This opportunity is being offered as an internal Expression of Interest and is open to current Monash University employees.

To express your interest, please submit your CV and a brief cover letter outlining your relevant experience, skills and interest in the opportunity.

You are not required to separately address the Key Selection Criteria.

For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. 

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at

hr-recruitment@monash.edu

in an email titled 'Reasonable Adjustments Request' for a confidential discussion.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.

Enquiries: Mr Michael Splatt, Senior Manager Planning and Performance, 03 9905 8156, 

Michael.Splatt@monash.edu

. 

Position Description: Data Analyst

Applications Close: Wednesday October 14, 11:55pm AEDT

Supporting a diverse workforce