Data Analyst

About us

The Faculty of Medicine and Health at The University of Sydney is one of the largest and most comprehensive medicine and health faculties in Australia, encompassing diverse areas such as dentistry, clinical medicine, health sciences, medical sciences, nursing and midwifery, pharmacy, and public health, and continuously being ranked number one in Australia and among the top 20 globally across multiple academic fields. As part of our community of more than 2,500 academic and professional staff, and close to 3,800 affiliate staff from across the healthcare sector, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.

We have an extensive research and education footprint. Over the past 5 years, we have generated close to $1.5 billion in research income and shared our research discoveries through 37,000 publications, attracting close to 700,000 citations globally. We deliver our accredited educational offering through 140 specialised courses, including one of the largest higher degree by research programs in the country, to 13,000 students annually and facilitate over 18,000 placements at 3,000 sites across all NSW Local Health Districts and within our 30 teaching hospitals. We educate 30% of the NSW health workforce and have a global network of 100,000 alumni.

About you

You are an experienced Data Analyst who has:

• a bachelor’s degree in relevant field and a minimum of 3 years of relevant work experience.
• a strong analytical capability and can apply knowledge of best practice principles to data preparation and ETL processes, analysis, visualisation, insights provision.
• extensive experience and high proficiency in utilising analytical tools and programming languages such as SQL, Python, R, or similar, and experience working with large datasets and relational databases.
• advanced Excel skills, including extensive experience in data cleansing, transformation, validation, consolidation, and automation using complex formulas, Power Query, macros, Office Scripts, Power Automate, Python or similar tools to streamline processes and reduce manual effort.
• data visualisation experience, developing insightful dashboards utilising MS Power-BI (incl. DAX measures), adopting data security, privacy, and role-based access control (RLS) principles.
• high level of accuracy and attention to detail and the ability to produce work of a consistently high standard within tight timeframes.
• excellent time and workload management skills, including demonstrated ability to determine multiple priorities, and work under pressure to meet deadlines and achieve team goals.
• demonstrated ability to exercise discretion and judgement when assessing and dealing with confidential matters or data.

Sponsorship / work rights for Australia

Visa sponsorship is not available for this position. This role requires valid work rights for Australia.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion.

How to apply

Applications (including a cover letter, resume, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

All applicants must upload the following 2 documents for the application to be considered:

1. Cover letter (2 pages max):

• addressing all the requirements listed in the "About You" section above, and
• providing an example of a relevant complex analytical project you have been engaged in, including your approach, the outcomes, and evaluation of success.

2. Resume.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Michael Abelardo, Recruitment Consultant Recruitment Operations, by email to casual-recruitment.admin@sydney.edu.au

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Click to view the Position Description for this role.

Applications Close

Thursday 06 August 2026 11:59 PM