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- Tasks: Analyse health data and create models to improve healthcare decisions.
- Company: Join the Agency for Clinical Innovation, leading healthcare innovation in NSW.
- Benefits: Flexible working, competitive salary, and a dynamic work environment.
- Why this job: Make a real impact on healthcare by using your analytical skills.
- Qualifications: Postgraduate qualification with programming skills in R, SAS, or Python.
- Other info: Diverse and inclusive workplace culture, encouraging applications from all backgrounds.
The predicted salary is between 100000 - 120000 £ per year.
Overview
Data and Statistical Analyst
Agency for Clinical Innovation
- Join an organisation passionate about delivering improved health care.
- Flexible Working Organisation based in state of the art, agile offices in St Leonards.
Responsibilities
- Identify, source, and analyse relevant health data (administrative, registry, cohort, linked) and literature to inform modelling approaches and evidence-based decision-making.
- Conduct advanced data analyses and modelling, including the design, implementation, and validation of statistical, predictive and simulation models to evaluate Models of Care, interventions, and system-wide initiatives.
- Interpret modelling and analysis results, providing clear, evidence-based insights to inform interventions, resourcing strategies, and clinical redesign projects.
- Communicate findings effectively through high-quality visualisations, dashboards, reports, and presentations tailored to both technical and non-technical audiences.
About us
The Agency for Clinical Innovation (ACI) leads innovation in clinical care across NSW. We do this by bringing clinicians, patients and healthcare managers together to design and implement new ways to deliver healthcare.
For more information go to the Agency’s website.
What you will be doing
The Data and Statistical Analyst is responsible for the provision of sophisticated health related data analysis, modelling and interpretation which will be used to inform strategic projects of the ACI. A core function of the position is to ensure that the analysis undertaken is comprehensive, utilises relevant data sources and stakeholder appropriate.
Employment details
- Employment Type: Full Time Exempt (Until June 2027)
- Position Classification: Health Manager Level 3
- Remuneration: $127,150.00 – $144,444.00 per annum excluding Superannuation
- Hours Per Week: 40 (38 standard + 2hrs toward ADO)
- Requisition ID: REQ609244
How to apply
- a cover letter detailing your interest and how your skills and experience are relevant to this role, maximum of 3 pages
- an up-to-date resume of no more than five (5) pages which clearly details your skills and experience as relevant to this role.
- address Selection Criteria below in your application.
Application must be lodged electronically. Please go to the NSW Health jobs site and search Job Reference Number REQ609244 to submit your application.
Selection Criteria
- Relevant postgraduate qualification or equivalent expertise, with demonstrated capability in programming (e.g. R, SAS, Python), advanced data preparation, and the development, validation, and application of advance statistical (e.g. multilevel and Bayesian), machine learning, and simulation models using multiple health-related data sources.
- Knowledge and practical experience with health data collections, including an understanding of their strengths, limitations, and applications in health service delivery and system improvement.
- Demonstrated ability to collaborate and negotiate effectively with multidisciplinary teams, clinicians, senior management, and external stakeholders to design analyses and deliver projects.
- High-level communication skills, including the ability to prepare clear and concise reports, visualisations, dashboards (e.g. Power BI), and presentations for both technical and non-technical audiences.
The ACI values diversity and is committed to building an inclusive workplace culture that reflects the community we serve.
We encourage applications from diverse community groups including Aboriginal and Torres Strait Islander people, LGBTIQ+, those with special needs and people from culturally and linguistically diverse backgrounds.
If you are an Aboriginal or Torres Strait Islander person and would like more information about applying for a role within the ACI, please contact one of our Aboriginal Workforce Consultants on 1800 004 546 or by email aboriginalcareers@health.nsw.gov.au.
If you are a person with disability and require information or specific arrangements to participate in the recruitment process, please contact HSNSW-DisabilityEmployment@health.nsw.gov.au.
This position is a temporary position and requires full working rights in Australia (e.g. Australian citizenship/ permanent resident). If you currently hold a temporary visa that allows you to live and work in Australia, you may be eligible for employment opportunities in line with the conditions of your visa.
Need more information?
- Position Description
- applying for this position
If you would like more information on this role please contact Hassan Assareh at hassan.assareh@health.nsw.gov.au
This recruitment is managed by our internal teams at the ACI. ACI is unable to accept agency applications nor engage with recruitment agencies at this point in time. We thank you in advance for respecting our process.
Closing date: Tuesday, 14th October 2025 at 11:59PM
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Data and Statistical Analyst employer: NSW Health
Contact Detail:
NSW Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Statistical Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data analysis fields. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses, visualisations, and any modelling projects you've worked on. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in health data analysis. Be ready to discuss how your experience aligns with the role and how you can contribute to the ACI’s mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the ACI team.
We think you need these skills to ace Data and Statistical Analyst
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to detail your interest in the role and how your skills align with what we're looking for. Keep it concise, but don’t shy away from showcasing your passion for data analysis and healthcare.
Tailor Your Resume: When you send us your resume, ensure it’s up-to-date and tailored specifically for this role. Highlight your relevant experience and skills, especially in programming and statistical modelling, so we can see how you fit into our team.
Address the Selection Criteria: Don’t forget to address the selection criteria in your application! This is crucial for us to understand how your qualifications and experiences meet our needs. Be specific and provide examples where possible.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at NSW Health
✨Know Your Data Inside Out
Make sure you’re familiar with the types of health data mentioned in the job description. Brush up on administrative, registry, and cohort data, and be ready to discuss how you’ve used these in past projects. This will show your potential employer that you understand the nuances of health data and can apply them effectively.
✨Showcase Your Modelling Skills
Prepare to talk about your experience with statistical and predictive modelling. Be specific about the tools you’ve used, like R or Python, and any advanced techniques you’ve applied. Bring examples of your work, such as simulation models, to demonstrate your capabilities and how they relate to the role.
✨Communicate Clearly and Effectively
Since the role requires high-level communication skills, practice explaining complex data findings in simple terms. Prepare a few examples of how you’ve created visualisations or reports for both technical and non-technical audiences. This will highlight your ability to bridge the gap between data analysis and practical application.
✨Collaborate and Connect
The job involves working with multidisciplinary teams, so think of examples where you’ve successfully collaborated with others. Be ready to discuss how you’ve negotiated project goals and communicated with stakeholders. This will show that you’re not just a data whiz but also a team player who can drive projects forward.