Your role at St John of God Health Care
You will be responsible for developing and implementing analytics solutions that uncover patterns, predict trends, and provide meaningful insights. Your work will drive positive outcomes for patients, caregivers, and the organisation with guidance from the Analytics Lead – Performance.
In this role you will also support Business Intelligence and self‑service tool development using tools such as Power BI with a focus on human‑centred design and user experience (UX). Collaborating closely with Hospital Operations, Group Strategy and Planning (including EPMO) data engineering teams and other teams, you will deploy analytical solutions into production environments.
The Position
* Work collaboratively with business users to understand their requirements and provide analytic support for strategic and operational initiatives.
* Build, validate and maintain statistical and machine‑learning models for advanced analytics use cases.
* Tune model performance and assess accuracy, bias and reliability.
* Monitor model performance over time and retrain as required.
* Work with the data engineering team to build structured datasets suitable for predictive analysis and modelling.
* Apply statistical analysis to identify patterns, correlations and trends within large and multi‑dimensional datasets.
* Design and create interactive dashboards to communicate complex data insights in an accessible and self‑service manner using visualization tools such as Power BI.
* Document methodologies, assumptions and findings clearly for technical and non‑technical audiences.
* Ensure appropriate testing has occurred, all change control procedures are met and all changes are documented.
* Address ad‑hoc requests from Hospital Operations and other areas as assigned in a timely manner.
You will have a minimum of two years of relevant experience, preferably in the healthcare industry, with a degree qualification in Data Science, Computer Science, Health Informatics, Statistics or another quantitative discipline.
To succeed you will have strong data science skills using SQL, Python or R and knowledge of tools like Excel, Power BI, Tableau or other data visualization platforms. You will be proficient in data analysis tools and techniques, including experience with statistical analysis, data visualization and data mining to extract insights from complex healthcare datasets.
Above all people are at the core of everything you do, committing to and supporting our Mission and Values.
We can offer you
* Salary $124,196 to $137,946 per annum plus 12% Superannuation
* Permanent full‑time position working 76 hours a fortnight
* Located in Collins St, Melbourne office or Perth Kings Square office
* 40% work from home option
* Salary packaging up to $18,550 on a range of benefits such as mortgage, rent, meal, entertainment, holiday, accommodation or other everyday living expenses as well as options to salary package benefits above the FBT cap on items such as
o Novated leasing
o Work related expenses
o Self‑education and
o Additional superannuation
* A healthy work‑life balance through flexible work options, additional purchased leave and well‑being programs
* Employee discount on St John of God Hospital & Medical Services and Private Health Insurance
* Employee support through our dedicated free Employee Assistance Program (EAP)
* Paid Parental Leave
>Close to public transport
For enquiries please call (08) and ask for Ruth Morris, Analytics Lead – Performance.
If suitable applicants are identified advertisement may close prior to listed date and screening/interviews may commence throughout the advertising process.
Please note unsolicited applications from recruitment agencies will not be accepted.
St John of God Health Care embraces diversity and strongly encourages applications from Aboriginal and Torres Strait Islander peoples and people with disabilities. We are committed to providing a safe environment for all children and vulnerable people in our care and proactively take measures to protect children/vulnerable people from abuse.
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