📁
Business / Systems Analyst
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REQ553167 Requisition #
Employment Type: Permanent Full Time
Position Classification: Health Manager Level 3
Remuneration: $127,150.00 - $144,444.00 per annum plus superannuation
Hours Per Week: 38
Requisition ID: REQ553167
Location: Newcastle or Sydney
Application close: 16th March 2025 - 11:59pm


About the opportunity

Are you a data-driven problem solver with proven expertise in applying analytics to drive strategic and organisational priorities while uncovering opportunities for growth? Are you looking for an opportunity to leave your mark, and drive transformational change that will impact how you and your loved ones receive healthcare across NSW?

At NSW Health Pathology, we are currently undertaking our largest digital health transformation initiative to date. As part of our commitment to embrace the full potential of AI, we’re on the hunt for a capable data scientist who thrives at the intersection of technology and business.We value candidates with strong critical and scientific thinking and a healthy dose of creative problem solving. Prior experience in the healthcare domain is an added plus.

Ideally based in either Sydney or Newcastle, you’ll work in a collaborative, inclusive, and dynamic environment, and be part of a team of 15 data engineers, analysts, and data scientists who are applying cutting edge technology to build solutions that directly impact patient care and health outcomes across the state.

What we can offer you 

  • Accrued Days Off in addition to Annual Leave
  • Generous salary packaging options and other fringe benefits
  • Corporate wellbeing programs, including the Fitness Passport
  •  Learning and development opportunities, including in-house training with RTO My Health Learning


What you'll be doing

The Data Scientist is responsible for undertaking data extraction, exploration, analysis and dissemination of insights to key executive stakeholders across NSW Health Pathology and NSW Health as required. This includes leading :
  • the development of analytical solutions and dashboards that provide key insights to support informed decision making in relation to strategic and operational priorities for NSW Health Pathology
  • the adoption of NSWHP approved best practices and standards for the collection and curation of data sources, development and maintenance of analytical tools and the dissemination of analytical output
  • the ethical use of data and analytical products and the growth of data and analytical literacy across the enterprise.

The Data Scientist will also collaborate with other teams within NSW Health Pathology by rapidly exploring and appraising new sources of pathology related data, developing and testing statistical and machine learning models, and by further developing prototype models into automated and scalable tools, dashboards and interactive reports for non-specialist end-users

Interested in joining Australia’s largest public pathology service? Apply now by addressing the following questions:

  1. Relevant tertiary qualifications in statistics, machine learning, computer science or a related discipline and/or prior experience in data modelling and analytics in a complex organisation.
  2. Evidence of advanced analytic skills, data processing and modelling skills including advanced proficiency and experience in the use of the Microsoft BI Platform and its tools to undertake complex analysis, report design, data visualisation and the presentation of information to a variety of audiences at a senior level.
  3. Experience and expert knowledge of cloud computing analytics infrastructure including integration tools such as Azure Synapse Analytics or AWS Glue
  4. High level experience with pathology services, the NSW Health funding model and pathology related health data systems including Laboratory Information Systems, Patient Flow data systems, workforce and financial data systems.
  5. Demonstrated interpersonal, negotiation, written, verbal and presentation skills, leadership skills, the ability to build and maintain collaborative working relationships with a diverse range of stakeholders and positively interact and influence to achieve best outcomes.
  6. Background in building and deploying a variety of analytics across a large complex organisation including effectively documenting processes and procedures for management and staff and providing analytic support, advice, mentorship and / or supervision to less experienced data analysts.
  7. Vendor management including scope of works development, contracting and contract management throughout vendor engagement to its conclusion.
  8. Demonstrated understanding of privacy and health/personal information legislation, policies and standards.



Need more information?
  1) Click here for the Position Description
  2) Find out more about applying for this position
For role related queries or questions contact Suranga Kasturi on suranga.kasturi@health.nsw.gov.au

Working Rights 

This position is a permanent position. To be eligible for permanent appointment to a position in NSW Health, you must have an Australian citizenship or permanent Australian residency. Please note: A person who is not an Australian citizen or a permanent resident is only eligible for temporary employment for a period not longer than the duration of their current visa.

New to NSW Health Pathology? 

The preferred candidate may be required to undergo a functional assessment prior to appointment.

Talent Pool

If the selection panel identifies more than one suitable candidate for the role, an eligibility list will be created for future permanent full time / part time, temporary and casual vacancies.

 

Our Commitment to Diversity and Inclusion

NSW Health Pathology is an equal opportunity employer committed to creating an inclusive workplace. We seek to recruit from diverse applicants and create teams with skills, perspectives and experiences that complement each other at work. We welcome suitably qualified applicants regardless of age, ethnicity, socio-cultural background, disability, sexual orientation or gender identity.

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