
Healthcare Data Analyst Specialist
7 days ago
Unlock the power of healthcare data to drive impactful decisions and improve patient outcomes. As a specialist in advanced data analytics and predictive modelling, you will empower better healthcare decisions through evidence-based insights.
- Support clients in delivering high-impact outcomes across Australia and globally by conducting market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
- Build and optimise automated data pipelines to improve reporting efficiency and deliver faster insights. Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
- Partner with cross-functional teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
- Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
Essential Criteria:
- 5+ years' experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.
- Proven expertise in SQL (advanced joins, window functions, aggregations), Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools.
- Strong background in healthcare analytics using datasets from reputable providers.
- Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting.
- Skilled in dashboard development, storytelling, and executive-level presentations.
- Degree in a quantitative discipline.
- Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.
Why Join This Field?
- Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
- Growth: Be part of a rapidly scaling industry with career advancement opportunities.
- Culture: Join a collaborative, mission-driven community passionate about healthcare and data.
- Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.
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