APS5 Data Analyst

About this role

About the Team The Sector Capability and Regulatory Strategy Division sets the strategic direction and guides the delivery of our risk-based regulatory operations informed by high value intelligence, analysis and data. The Division supports whole of Commission responses to risk issues through regulatory policy responses and campaigns, and facilitates sector performance through sharing information with providers and consumers The Data, Analytics and Intelligence (DAI) Branch manages and analyses data from the aged care sector and regulatory activities to understand risks and performance for the purposes of prioritising and informing preventative and responsive risk treatments and regulatory decision making. Purpose of position: The Data Analyst contributes to translate data into clear, meaningful information, products and services that delivers business outcomes. The role contributes to DAI’s vision to deliver timely, accurate and actionable products and trusted insights that are easily understood and acted on by our stakeholders. Working under limited guidance, the role is expected to exercise judgement, apply knowledge and expertise, manage competing priorities, and contribute to a culture of collaboration, curiosity and continuous improvement. The outcomes of these endeavours empower the Commission to manage risk and ensure older Australians receive the quality of care they rightfully deserve. • Data extraction, analysis and modelling to assist with data-driven decision making and reporting. • Coordinating data, analytics and intelligence projects, consulting stakeholders and internal teams to define requirements and deliver outcomes. • Present data in clear, consistent, and accessible formats, including dashboards, reports, briefing papers, and visualisations tailored to audience needs. • Ensuring integrity and quality of datasets, maintain and support data governance standards, and contribute to improving policies and procedures related to data management. • Fostering productive working relationships with team members, stakeholders, and clients by consulting, sharing information, and collaborating to achieve shared goals. • Supporting data literacy and capability development, providing guidance, training and support delivery of emerging tools, technologies and methodologies. • Ability to adapt to competing priorities and meet deadlines, showing initiative and resilience in a dynamic, fast-paced environment.