Job description
- Sydney CBD – Hybrid flexibility
- 12-month non-ongoing contract
- $120,842 - $137,823 + 15.4% Superannuation
The Costing Analytics Section provides analytical support on the analysis of cost related activities in both hospital and aged care. The Costing Analytics section also works in collaboration with other teams within the Agency to develop innovative methods for the analysis of cost data for public hospital services, evidence driven national health policies, alternative health care funding models, aged care services and classification systems.
The Role:
The EL1 Technical Manager – Costing Analytics is required to coordinate and manage multiple priorities within defined timeframes and ensuring results.
This position is located within the Costing and Data Infrastructure branch. The Branch has responsibilities including cost collections, developing costing standards and data specifications, and managing data acquisition, access and storage.
Responsibilities will include but are not limited to:
- Being accountable to the section Director for major projects undertaken by the section and supporting the Director to deliver work plan priorities.
- Managing staff and section resources.
- Understanding and analysing data collected from aged care and hospital services
- Providing input into the development of cost models for aged care and hospital services
- Providing specialist advice to various working groups, managing relationship, and working with stakeholders on technical issues
- Technical Mangers will require demonstrated ability to undertake projects in an uncertain environment.
- Strong technical and analytical skills, with high attention to detail. Experience in mathematical or statistical analysis and model development
- Demonstrated experience in developing clear and efficient code preferably using SAS, SQL or Python to understand and analyse data.
- Capacity to conduct sound analyses in an environment dominated by policy and stakeholder constraints. Ability to adopt a pragmatic approach to analysis and deliver results accordingly
- Demonstrated experience in contributing to a high performing multi-disciplinary team
- Demonstrated ability to communicate complex technical information that is appropriate for a range of audiences
- Critical Thinking skills, including the ability to develop and assess the quality and applicability of complex analysis and modelling.
- Experience in mathematics, statistics, econometric, or actuarial sciences, including data analysis and pricing model development is highly desirable. Experience using SAS, SQL, Python, and Microsoft Excel is also desirable.
To be eligible it is essential that applicants hold Australian Citizenship and have the ability to obtain and maintain a national police check.
If you are interested in this role, please do APPLY NOW with your resume and a statement of claims framed around the key duties and key capabilities in MS Word format. Alternatively, call Karen on 02 9200 3677 for more information.
Applicants new to DFP may be asked to provide additional information including work rights status via a survey link – if requested, we ask that you provide this information in order to expedite your application.
DFP welcomes applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. In addition, DFP will provide reasonable adjustments for individuals with disability throughout the recruitment process. If you identify as a person with disability and require adjustments to the application, recruitment, selection and/or assessment process, please advise via adjustments@dfp.com.au or 1300 337 000 and indicate your preferred method of communication (email, phone, text) so we can keep in touch and meet your accessibility needs.
By clicking 'apply', you give consent that DFP may use your personal information to process your job application and to contact you for future employment opportunities. For further information on how DFP process your personal information please review the DFP Information Collection and Privacy Policy via https://www.dfp.com.au/about-us/policies. Do not submit any sensitive personal information in your resume.
