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Policy and data analyst

Darwin
Department of Health
Posted: 1 April
Offer description

Job description
Agency Department of Health Work unit Funding and Performance

Job title Policy and Data Analyst Designation Administrative Officer 6

Job type Full-time Duration Ongoing

Salary $99,519 - $110,953 Location Darwin

Position number 49384 RTF 344615 Closing 09/04/2026

Contact officer Kirsty Annesley on 08 8922 71***or ***************@nt.gov.au

About the agency http://www.health.nt.gov.au/

Apply online https://jobs.nt.gov.au/Home/JobDetails?rtfId=344615
APPLICATIONS MUST INCLUDE A ONE-PAGE SUMMARY ABOUT YOU, A DETAILED RESUME AND COPIES OF YOUR
TERTIARY QUALIFICATIONS.
Information for applicants – inclusion and diversity and Special Measures recruitment plans
The NTPS values diversity. The NTPS encourages people from all diversity groups to apply for vacancies and accommodates
people with disability by making reasonable workplace adjustments. If you require an adjustment for the recruitment process or
job, please discuss this with the contact officer. For more information about applying for this position and the merit process, go
to the OCPE website.
Aboriginal applicants will be granted priority consideration for this vacancy. For more information on Special Measures plans, go
to the OCPE website

Primary objective
Support the delivery of activity-based funding (ABF) and related health funding functions by undertaking high-quality data analysis,
managing activity and funding datasets, and ensuring accurate, timely, and compliant funding outcomes for NT Health.

Key duties and responsibilities
1. Analyse, validate, and reconcile hospital activity and funding data, including leading the routine reconciliation of cross‐border

activity to ensure accuracy, completeness, and alignment with national and jurisdictional requirements.
2. Contribute to the refinement and maintenance of funding models by providing high‐quality analytical inputs and data insights.
3. Maintain awareness of national health reform, activity based funding and pricing requirements, applying relevant knowledge to

ensure accurate funding outcomes.
4. Prepare clear, accurate reports, dashboards, briefings, and analytical summaries to support evidence based decision making.
5. Work collaboratively with stakeholders, including hospitals, clinical teams, finance, costing, revenue, and interstate

counterparts, to resolve data issues, improve data quality, and support funding processes.
6. Support data quality improvement initiatives, including identifying data capture issues, monitoring data completeness, and

working with operational teams to strengthen activity reporting.
7. Assist in project work related to funding, pricing, and demand modelling, including planning, documentation and risk

identification,
8. Contribute to fostering a positive workplace culture through professional conduct, collaboration, and support for workforce

agility and skill diversification.

Selection criteria
Essential
1. Demonstrated experience in data analysis, business analysis, or financial analysis, preferably within a health organisation or

complex environment.
2. Understanding of the national health reform agenda, activity based funding, or hospital pricing frameworks.
3. Experience working with hospital activity data, funding and pricing models, or the ability to rapidly acquire this knowledge.
4. Strong analytical and problem‐solving skills, with the ability to interpret complex datasets and provide clear, evidence‐based

insights.
5. Well-developed written and verbal communication skills, including the ability to prepare high‐quality reports and explain

technical concepts to non‐technical audiences.
6. Ability to build effective working relationships and collaborate across teams, including clinical, operational, and finance

stakeholders.
7. Demonstrated ability to manage competing priorities, meet deadlines, and contribute to team‐based outcomes.

Desirable
1. Recognised tertiary qualification in finance, accounting, statistics, economics, or related fields.
2. Demonstrated knowledge and practical experience in R and SAS for data analysis, statistical modelling, and reporting.
3. Experience with the national ABF environment.

Further information
Positions may be subject to pre-employment checks such as immunisation requirements, working with children clearance notice
and criminal history checks. A criminal history will not exclude an applicant from this position unless it is a relevant criminal history.
For immunisation requirements - Category A (direct contact with blood or body substances) or Category B (indirect contact with
blood or body substances), check with contact person for requirements.

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