Population Health Data Analyst
The position is available in a not-for-profit organisation dedicated to creating a more person-centred, equitable and connected health system.
Key responsibilities include:
* Designing and conducting population health needs assessments to identify service gaps and opportunities
* Analysing health and service utilisation data to inform program development and regional planning
* Developing dashboards and visualisations using tools like R, Python, and Power BI
* Preparing high-quality reports and presentations tailored to a range of audiences
* Collaborating with internal teams, government stakeholders, service providers, and academic institutions
* Monitoring and evaluating data trends and providing timely insights to support continuous improvement
* Supporting innovative use of GP practice-level data for service planning and evaluation
* Triangulating qualitative and quantitative data to build compelling evidence stories
The ideal candidate will bring strong statistical analysis skills using R, Python, or SAS, and proficiency in data visualisation tools such as Power BI or Tableau.
A degree in public health, epidemiology, biostatistics, health sciences, data analytics or a related field is required. Experience preparing and presenting clear, insightful reports to both technical and non-technical stakeholders is also necessary.
A proactive, inquisitive mindset and the ability to think critically and innovatively are essential. Strong interpersonal skills to collaborate with internal and external partners are also required.