Principal Data Analyst

• Medical School

• Full-time, fixed-term position for up to 12 months

• Base salary will be in the range $113,377.67- $127,112.24 + 17% Superannuation (HEW Level 8)

• Based at our Herston Campus

About This Opportunity 

The Medical School is looking for an experienced and driven Principal Data Analyst with a minimum of 2 years' experience in data analysis and advanced data visualisation. The ideal candidate will possess postgraduate qualifications in analytics, statistics, or a related discipline, along with a strong background in utilising Power BI for data reporting and analysis. This role is ideal for someone who is passionate about converting data into actionable insights and collaborating with Medical School academics to support data-driven decision-making.

Key responsibilities will include: 

• Collaborate with cross-functional teams to gather data, create tailored analytical solutions, and integrate data from multiple sources for comprehensive reports.

• Design, develop, and optimise Power BI reports and dashboards using M Code and DAX, ensuring data accuracy and providing actionable insights to support academic decisions.

• Provide training on Power BI usage, conduct statistical analysis, and stay current with emerging trends in analytics and business intelligence technologies.

For a full position description contact talent@uq.edu.au

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:

• 26 weeks paid parental leave or 26 weeks paid primary caregiver leave

• 17% superannuation contributions

• 17.5% annual leave loading

• Access to flexible working arrangements including hybrid working options, flexible start/finish times, 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

• UQ Study for Staff

• Salary packaging options

About the Faculty of Health, Medicine and Behavioural Sciences

The newly established Faculty of Health, Medicine and Behavioural Sciences will be an interdisciplinary powerhouse of innovation and collaboration to lead integrated solutions to the needs of the communities we serve locally and globally. UQ offers one of the widest ranges of health and behavioural sciences programs of any Australian university, and the ambition for this new Faculty will be to will be to leverage its unified suite of esteemed schools, institutes and centres to unlock opportunities within UQ and with external partners

About You  

• Postgraduate qualifications (or working towards) in Analytics, Statistics, Data Science, or a related field.

• At least 2 years of practical experience in a data analysis role.

• Proficiency in Power BI, including experience with M Code (Power Query) for data transformation and DAX for complex calculations.

• Strong knowledge of data modelling, data visualisation best practices, and dashboard design.

• Advanced proficiency in Excel, including use of formulas, pivot tables, and data analysis tools.

• Experience in SQL or other data analysis tools.

• Ability to work independently and manage multiple tasks and deadlines effectively.

• Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

• Detail-oriented with excellent problem-solving skills.

Desirable:

• Experience with statistical analysis and ability to apply statistical methods to data.

• Experience in Python or R.

• Experience in higher education.

• Familiarity with cloud-based platforms such as Azure or AWS.

• Knowledge of machine learning algorithms and statistical modelling techniques.

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

Questions? 

For more information about this opportunity, please contact School Manager, UQ Medical School Keira Anderson, k.anderson@uq.edu.au

For application queries, please contact talent@uq.edu.au stating the job reference number (below) in the subject line. 
 

Want to Apply? 

All applicants must upload the following documents in order for your application to be considered:

• Cover letter summarising how your background aligns to the ‘About You’ section  

• Resume 

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 don’t 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.

We know one of our strengths as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments.

Applications close 3rd March at 11.00pm AEST (R-48393). Please note that interviews have been tentatively scheduled for 13th March.