Australian National University Jobs

Australian National University

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Canberra ACT 2601, Australia

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"WFP & Analytics Data Analyst"

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WFP & Analytics Data Analyst

ANU Officer 6/7 (Administration)

2026-03-22

Location

Canberra ACT 2601, Australia

Australian National University (ANU)

Type

Full-time, Fixed Term (18 months)

Salary

$98,387 - $113,252 p.a. + 17% superannuation

Required Qualifications

Data analytics/mathematics qualifications
Automating HR reports
Report writing
Stakeholder management
Higher education experience preferred
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WFP & Analytics Data Analyst

  • 561477
  • Canberra / ACT, ACT, Australia, 2601
  • Fixed Term
  • Closing at: Mar 22 2026 - 23:55 AEDT

Position Description

Classification: ANU Officer 6/7 (Administration)   

Salary package: $98,387 - $113,252 per annum plus 17% superannuation

Terms: Full-time, Fixed Term (18 months)

The Position

The HR Data Analyst (Projects) will support project work within the People Services department in the People and Culture Division including automating compliance reporting, workforce and payroll dashboard development and deployment, data quality and integrity, stakeholder management, develop documentation of processes and procedures, and work closely with the Workforce Planning & Analytics team on a range of initiatives.

The Person

We are seeking an HR data analyst with qualifications in data analytics/mathematics and demonstrated experience in automating HR reports, report writing and stakeholder management. Experience in the higher education sector would be highly regarded. 

The School/Department

Workforce Planning & Analytics, People Services Department provides comprehensive support and advice on:

  • The design, development and implementation of workforce strategies, including workforce trend analysis and projects, and position management projects.
  • The development of the HR data governance framework to ensure data integrity, security, and accessibility.
  • Compliance reporting and benchmarking on workforce metrics.
  • Automated analytical tools to provide HR operation, compliance, and reporting solutions.

The College/Division

People and Culture Division supports ANU Staff to achieve excellence by providing innovative human resources services and valued, consistent, responsive and supportive HR services to managers and staff members ANU-wide. The division provides a range of operational, advisory and strategic services which enable ANU to attract, develop and retain outstanding staff who are committed to the achievement of excellence and to the values of the Australian National University.

For further information please contact, Billy Lyu, Senior Consultant, HR Data Integrity and Insights E: daijie.lyu@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au

ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details.

Application information

In order to apply for this role please make sure that you upload the following documents:

  • A statement addressing the selection criteria.
  • A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.

Applications which do not address the selection criteria may not be considered for the position.

Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

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