Analytics Manager

Data Analytics Manager

Be a key part for transforming community healthcare through innovative, data-driven projects that have advanced analytics at the heart of decision making. Working on impactful data projects around mental health, cancer research and other health metrics , this role combines leadership and technical skillsets.

What sets the organisation apart is its use of AI, machine learning, and advanced analytics to drive real impact. Joining this team means working on meaningful projects that make a difference in the community while advancing skills in health data analytics and leadership.

Role Overview:

Lead strategic data analysis and insights to drive evidence-based decision-making. Oversee a small team of Data Scientists, delivering tangible reporting and insights to exec and c-suite stakeholders. Apply advanced data analytics, machine learning, and AI techniques to transform complex datasets into actionable insights that improve health outcomes, optimise resource allocation, and support strategic planning.

Foster a data-driven culture, empowering stakeholders with impactful visualisations, dashboards, and reports to make informed decisions. Work closely with Head of Data Engineering & engineering department.

Key Responsibilities:

• Lead health data analysis, geospatial insights, and predictive modelling for strategic planning.
• Apply advanced statistical methods, machine learning, and AI to generate actionable insights.
• Develop reports, dashboards, and visualisations for diverse stakeholders.
• Manage projects, set strategic goals, and promote data-driven decisions.
• Foster a culture of continuous improvement and professional growth.

Skills & Experience:

• Experience working in Healthcare, clinical practice, or non for profit advantageous.
• Expertise in statistical tools (R, Python, SQL, Power BI, ML).
• Proven experience in machine learning, AI, and predictive modelling.
• Strong leadership in managing analytics projects and teams.
• Effective communicator, skilled at translating complex data into insights.
• Experience working with large datasets and advanced analytics methods.

Other Requirements:

• Full working rights in Australia.