Job details

Location
Sydney, New South Wales
Salary
Negotiable
Job Type
Contract
Ref
34716_1625204972
Contact
Rick Nunez
Contact email
Email Rick
Contact phone
0478 079 255
Posted
24 days ago

Job details

Location
Sydney, New South Wales
Salary
Negotiable
Job Type
Contract
Ref
34716_1625204972
Contact
Rick Nunez
Contact email
Email Rick
Contact phone
0478 079 255
Posted
24 days ago

Data Analyst - NSW Government
Start Date : ASAP
End Date : 12mths from Start Date
Pay rate : $500 p/d plus Super
Note: Role is based at St Leonards offices in Sydney, NSW. With some flexibility for WFH days.

PREVIOUS GOVERNMENT EXPERIENCE HIGHLY REGARDED.

Description:
To be a key member of a state-wide extended Business Intelligence team providing specialist skills and expertise for ongoing support and maintenance of a single state-wide Enterprise Data Warehouse that provides a consistent single source of truth for NSW Health Information. This role is vital in managing the physical database instance that underpins the Enterprise Data Warehouse thereby ensuring timely, consistent and high quality information is made available to decision makers at all levels within NSW Health.

Primary purpose of the role:
The Data Analyst provides datasets, statistical analyses and/or reports to support cancer research, monitoring and evaluation activities to inform decision making, and support achievement of NSW Cancer Plan objectives. They contribute to the development, implementation and maintenance of the Institutes' data assets, reports and reporting systems.

Key accountabilities/tasks:
* Perform data validation and trend checking procedures on annual cancer incidence and mortality data prior to release
* Prepare annual cancer incidence and mortality datasets for release to external organisations such as the Australian Institute of Health and Welfare (AIHW), Australian Bureau of Statistics (ABS), Centre for Health Record Linkage (CHeReL), ACT Health and Australian Children's Cancer Registry (ACCR), for state and national reporting purposes and linkage to other health datasets for research purposes.
* Compare dataset releases and conduct impact analyses to understand historical changes and to quantify their size and impact for inclusion in user documentation.
* Prepare relevant documentation to support annual cancer incidence and mortality dataset releases, including data dictionaries, data quality statements, data usage notes and caveats, to enable greater understanding and use of the Institutes' data assets.
* Publish annual cancer incidence and mortality statistics to the Cancer Statistics NSW portal, fact pages, and narrative on the Cancer Institue NSW website, and projections and survival statistics as required.
* Conduct regression tests, user acceptance tests and production system tests on the Institute Data Warehouse and the Cancer Statistics NSW module and fact pages, for annual cancer incidence and mortality releases, and projections and survival data releases as required.
* Provide input into the development and maintenance of automated and repeatable programs to enable efficient dataset production, data validation and/or quality control activities.
* Undertake analyses in response to data queries or requests from researchers, Ministers, local health districts, clinicians and the general public. Analyses may involve the calculation of counts, rates, prevalence or risk and can be as simple as one table or require the generation of multiple outputs of results computed across a number of dimensions.

Key challenges:
* Prioritising and managing data provision, reporting and analyses, given the large volume of regular reporting commitments and ad hoc requests, some of great urgency and complexity.
* Ensuring work conducted is accurate, and programming and results are validated.
Essential requirements
* Tertiary qualifications in health information management, statistics, data science, informatics or a related discipline
* Strong skills and experience in SAS and SQL programming languages.
* Demonstrated knowledge, skills and experience in analysing, manipulating, summarising and interpreting medium to large sized, complex datasets.
* Excellent writing and communication skills.