"Senior Principal Data Analyst"

Job Description:

• Faculty of Engineering, Architecture and Information Technology
• Full-time (100%), permanent position
• Base salary will be in the range $115,645.22 - $129,654.48 + 17% Superannuation (HEW Level 8)
• Based at our St Lucia Campus

About This Opportunity

The Senior Principal Data Analyst will provide data analytics, reporting, modelling and data visualisation support to the EAIT Faculty as part of the Learning Enhancement Team. This includes data extraction, cleaning and analysis; student load modelling; plan, program and curriculum learning visualisation and analysis; thematic analysis of student feedback, student progression outcomes and other data analysis and reporting as required to meet the Faculty’s learning and student experience goals. This position will span all areas of the teaching and learning portfolio but retain a particular focus on supporting the forthcoming engineering accreditation process.

Key responsibilities will include:

• Extract, aggregate, visualise, and report relevant data and curriculum information to support accreditation of programs.
• Analyse and interpret data from university systems to enhance information quality and support evidence-based decision-making.
• Develop, test, and monitor learning performance metrics and indicators affecting students and academics.
• Collaborate with Planning and Business Intelligence to analyse market data for potential new academic programs.
• Advise senior management on emerging data needs related to learning and learner performance, proposing strategies for data collection.
• Design, build, and present clear reports and visualizations using tools like Python, R, SPSS, Tableau, Power BI, and UQ systems.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.

Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.

Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:

• Up to 26 weeks paid parental leave/paid primary care leave
• 17% superannuation contributions + 17.5% annual leave loading
• Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight
• Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
• Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program
• On campus childcare options
• Affordable parking (from just $6.15 a day)
• Salary packaging options

About You

• Postgraduate qualifications or progress towards relevant postgraduate qualifications and extensive experience within the educational sector; extensive relevant experience and management expertise; or an equivalent combination of relevant experience and/or education/training.
• Understanding of the development and implementation of performance indicator frameworks as they might be applied to learning analytics.
• High level computer competency, including the ability to use modelling, statistical analysis and visualisation software, together with supporting technologies such network and cloud-based storage frameworks.
• Experience in the use of statistical software such as R, SPSS or similar tools.
• Demonstrated ability to extract and manipulate complex data-sets and proven high level conceptual and analytical skills for investigating issues, problem-solving and interpreting trends, policies and practices.
• A proven ability to be highly organised and self-managing, including a demonstrated capacity to establish work priorities, meet timelines and achieve project management priorities, work independently and accept responsibility.
• Excellent interpersonal skills (including written and verbal communication), with experience in liaising with internal and external stakeholders, including the ability to provide advice and negotiate to achieve desired outcomes.
• An understanding and awareness of the environment and current issues in higher education is desirable.
• Experience in the use of the Business Objects and/or Tableau data management tool would be well-regarded.

The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, criminal check, education check, blue card check, etc.

Work Rights:

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.

Questions?

For more information about this opportunity, please contact Ms Belinda Benes via b.benes@uq.edu.au.

For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line.

Want to Apply?

We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:

• Resume
• A cover letter summarising how your background aligns with the 'About You' section

Our strength as an institution lies in our diverse colleagues. We are dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We are committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au.

Other Information

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who do not meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

Applications close on Sunday, 26 October 2025 at 11.00pm AEST (R-56728).

Posted:

14/10/2025