Data Analyst

2 weeks ago

Sydney, New South Wales, Australia Buscojobs Full time
Sydney CBD – Hybrid flexibility12-month non-ongoing contract98,366 – 110, % Superannuation

Our Federal Government Client is an independent agency that promotes efficiency and increased transparency in the delivery and funding of public health and aged care services across Australia.

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 APS6 Data Analyst - Technical Costing 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 :

  • 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
  • Preparing analytic working papers and technical documentation to communicate technical issues to key stakeholders
  • Supporting the Executive in explaining model results and other technical issues to external stakeholders
  • Collaborating with other sections on the Agency's broader work program

Key capabilities include :

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.Demonstrated ability to communicate complex technical information that is appropriate for a range of audiencesCritical Thinking skills, including the ability to develop and assess the quality and applicability of complex analysis and modelling.

Highly Desirable

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 Apply :

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 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 .auor 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 viahttps : / / / about-us / policies.Do not submit any sensitive personal information in your resume.

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