Aps6 Data Analyst, Linkage - Canberra, Australia - AIHW Australian Institute of Health & Welfare

AIHW Australian Institute of Health & Welfare
AIHW Australian Institute of Health & Welfare
Verified Company
Canberra, Australia

3 weeks ago

Olivia Brown

Posted by:

Olivia Brown

beBee Recruiter
Description

Position:
Data Analyst, Linkage & Integration


Classification:
APS Level 6


Location:
Canberra ACT | Sydney NSW

Job Reference: 122_11/23


Group:
Data Governance & Integration Group


Unit:
Data Linkage Unit

Salary $90,505 - $100,051 plus superannuation

Ongoing | Non-ongoing (for up to 12 months with possibility of extension)

Engagement Type:
Full-time or part-time

Advertised:
Commonwealth Gazette (Friday, 24 November 2023)

Closing Date: 11:30pm, (Thursday, 7 December 2023)

More information:
Visit our Careers Page and the AIHW Enterprise Agreement

This recruitment exercise may be used to fill similar positions in the Data Governance & Integration Group or within

the Institute over the coming 18 months.

About the AIHW

The Australian Institute of Health and Welfare (AIHW) provides reliable, regular and relevant information and

statistics on Australia's health and welfare.

We are committed to providing high quality, national data and analysis across the health, housing and

community services sectors. This covers a wide range of areas, from health and welfare expenditure,

hospitals, disease and injury, disability and mental health, to ageing, disadvantaged and vulnerable

populations, homelessness, and Indigenous health and welfare.

The AIHW Difference

The AIHW's APS Employee Census results attest to our positive and supportive workplace culture. We are an

inclusive, flexible, and productive workplace where people are treated with respect and courtesy, and diverse

and unique attributes are recognised and valued. Our results also show that we achieve top ten rankings in

staff engagement, leadership, communication, innovation, and wellbeing scales out of 101 APS agencies.

We offer a range of benefits including:

  • access to flexible working arrangements to support your work/life balance
- attractive remuneration packages including generous superannuation and leave provisions
- challenging and fulfilling work where you can use your skills and expertise
- opportunities for professional development including study assistance

Aboriginal and Torres Strait Islander people(s), people with disability, LGBTIQA+, neurodiverse people and

people from diverse cultural and linguistic backgrounds.

The AIHW has offices in Canberra and Sydney and offers remote work opportunities for many roles.

For more information, visit the Benefits of working for the AIHW page of our website.

Position Summary

The work of the Data Governance & Integration Group (DGIG) includes:

  • building and implementing the Institute's data integration strategies including major data assets,
such as the National Integrated Health Services Information
- protecting the confidentiality and privacy of data holdings through data governance leadership and

the AIHW Ethics Committee
- managing key relationships across government in support of the public sector data agenda.

The Data Linkage Unit (DLU) leads the Institute's work in statistical record linkage of data sets from health

and community services, to support person-based analyses that better inform policy in these areas. Staff in

the Unit undertake data linkage and build linked data products for client use in secure research

environments, in accordance with data provider and ethics committee approvals.

data set assembly roles.


Under general direction you will:

  • Undertake data linkage and linked data set assembly projects.
  • Provide expert advice and assistance to external researchers and other areas of the Institute.
  • Undertake key project work, including task prioritisation, collaborating with other team members and
delivering outputs in accordance with milestone and quality expectations.

  • Maintain record management for projects.
  • Ensure project data and outputs maintain confidentiality and adhere to approval requirements.
Selection Criteria

Important


  • Demonstrated capacity to manipulate and interrogate data sets using a range of software such as
SAS, R, Python or SQL.


  • Demonstrated organisational skills, including the ability to prioritise one's workload and escalate
issues when required.


  • Demonstrated communication skills including the ability to communicate with a range of internal and
external stakeholders.


  • Good project administration experience, including the ability to maintain accurate documentation
and records.


  • Good attention to detail and data checking skills.
Desirable

Demonstrated experience or knowledge of:
data linkage, linked dataset creation, machine learning

or data mining.

Academic qualifications in data science, mathematics, statistics, data engineering, computer science,

psychology, economics or other fields with a strong quantitative component will be highly regarded.

How to apply


  • A summary of your relevant skills and experience and explain why you would be the best person for
the role. Your response should align with the position summary and selection criteria information

above, and must be no more than 7
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