Data Analyst

• UQ Poche Centre for Indigenous Health

• Aboriginal and Torres Strait Islander candidates strongly encouraged to apply

• Demonstrate strong data analysis and coding skills

• Work alongside a dedicated team of data and research experts

• Based at the centrally located Toowong office

About the UQ Poche Centre

We are an Indigenous-led health research centre focusing on Indigenous ways of knowing, being and doing. We undertake multidisciplinary research to enhance understanding of diverse health issues affecting Indigenous peoples, reduce health inequity and improve health outcomes. 

In addition, we aim to nurture the next generation of Indigenous research leaders. As part of UQ’s commitment to research excellence, we are proud to provide our staff with access to grant writing support, greater research funding opportunities, and post-fellowship contracts via our UQ Amplify initiative. You’ll also have the opportunity to connect with UQ’s broader Indigenous network of approximately 150 academic and professional staff members, as well as our student and alumni networks. 

Want to know more about life as part of the UQ Poche Centre team? Watch a video here. 

About This Opportunity

The ATLAS Indigenous Primary Care Surveillance Network team are seeking a Data Analyst to contribute to the ongoing development, operation and reporting processes of the ATLAS data infrastructure. As the Data Analyst, you will develop and deploy an online data dashboard, delivering data visualisation to stakeholders and knowledge users.

In this role you will also independently develop and lead academic analyses of the ATLAS data, as well as contribute to the technical development of the ATLAS surveillance infrastructures expansion.

Key responsibilities will include, but are not limited to:

• Leading the development and management of the interactive data dashboard for Health Services and stakeholders.

• Developing reports and dashboards based on available data from core systems and identifying opportunities for automation.

• Contributing to development of analytic outputs from the ATLAS data infrastructure.

• Contributing to the maintenance and improvement of the ATLAS data pipeline.

• Documenting code and contributing to data dictionaries, codebooks and other administrative documentation.

• Occasional travel interstate and intrastate may be required.

This is a full-time (100%), fixed-term position through to June 2025. Part-time arrangements (minimum 80%) would be considered upon negotiation with the preferred candidate.

At HEW level 7, the full-time equivalent base salary will be in the range $96,649 - $105,244, plus a generous super allowance of up to 17%. The total FTE package will be up to $113,080 - $123,136 annually.  As these roles are covered by an Enterprise Agreement, you will also receive regular remuneration increases in line with the Enterprise Agreement.

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 14 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, 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

• Salary packaging options

About You

Aboriginal and Torres Strait Islander candidates are strongly encouraged to apply.

If you feel that you meet some, but not all of the below criteria, we encourage you to reach out for a confidential discussion about your skills and experience:

• A degree in Computer Science, Information Technology, Health Information Management, or a relevant scientific discipline, with at least four (4) years subsequent relevant experience; or an equivalent combination of relevant experience and education/ training.

• Demonstrated experience in data manipulation, analysis and visualisation using Python, SQL, and R. Confidence in Tidyverse, Shiny (dashboarding) and regex-based text searching is ideal.

• Demonstrated high level organisational ability and initiative including evidence of being effective in work planning, research and prioritising to meet deadlines, often with competing demands in a complex team environment.

• Demonstrated high level communication skills and the ability to communicate effectively with a range of audiences.

In addition, the following mandatory requirements apply:

• Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment. 

 
Questions?

For more information about this opportunity, please contact Dr Parham Kebria at p.kebria@uq.edu.au. For application queries, or for a copy of the full position description, 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 addressing the ‘About You’ section  

• Resume 

Other Information

At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion.  We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in the broader community, whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, people with a disability, or age. Accessibility requirements and/or adjustments can be directed to talent@uq.edu.au.

If you are a current employee (including casual staff and HDR scholars) or hold an unpaid/affiliate appointment, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.

Applications close Sunday 7th July 2024 at 11.00pm AEST (Job Reference Number - R-39718).