Support Analyst, Analytics

7 days ago

Sydney, New South Wales, Australia NSW Government -Public Service Commission Full time

Support Analyst - Clerk Grade 5/6

Analytics and Insights team

Public Service Commission
Are you passionate about all things data? Would you like to work in a large team of analysts and senior analysts where there is a career path?

We are offering:

  • High profile agency
  • Ongoing opportunity
  • Learning and development opportunities
  • Attractive remuneration package
  • Flexible working environment (open to fulltime, parttime and job share)

About the role


The Support Analyst role is located in the Analytics and Insights team which collects, analyses and reports workforce data, deriving transformative insights on the NSW Public Sector workforce.

The work program of the team includes quantitative and qualitative research and analysis used actively in policy and publications key to public sector workforce management decision making.

This is an exciting time to be joining the team as we engage in a major transformation of our data capture, architecture and analytics.


  • Delivers results within timeframes, demonstrates a commitment to quality and has a high attention to detail
  • Communicates, collaborates, and consults effectively with internal and external stakeholders
  • Is a teamplayer who seeks input from others and shares their own ideas to achieve the best outcomes
  • Is adaptable and motivated in a fastpaced, highvolume environment
  • Is curious and looks for insights in the data
For further information please see the Role Description

A
bout the Public Service Commission


The NSW Public Service Commission (PSC) is headed by an independent Public Service Commissioner and is a separate agency under the Government Sector Employment Act 2013 (GSE Act) that supports the Commissioner in exercising her functions and powers.


The PSC leads the design, development and implementation of the full range of workforce management strategies - including workforce capability, recruitment and assessment, performance management, and strategic workforce planning - to enhance the effectiveness and efficiency of the NSW public sector workforce.


Talent Pool

The purpose of this recruitment is to fill an ongoing Analyst role within the Analytics and Insights team and to create an Analyst talent pool.

A talent pool is used to fill future ongoing and temporary vacancies as they arise and remains valid for 18 months.


Am I eligible to apply?
- an Australian citizen, or
- a permanent resident of Australia, or
- a New Zealand citizen with a current New Zealand passport.

For questions about the role, please contact Richard Berky, Senior Analyst, on

Find out more
PSC Applicant Information Package
NSW Public Sector Capability Framework

Closing Date:
Thursday 30 March 2023, 11:59pm


People with disability are supported to access adjustments in recruitment processes and in the workplace, to enable them to demonstrate their skills and capabilities to meet the requirements of the job.

As supporters of flexible working, we understand that flexibility means different things to different people. We welcome discussions about how our roles can be undertaken flexibly, including through job share arrangements.

Targeted questions
Please answer the following questions by providing tangible examples using the STAR approach and limited to approximately 300 words. The responses you provide may be verified should you progress to the interview by your referees.

  • Provide an example of an analysis, paper or report you have worked on, describing the requirements, your role, what analytical techniques you used and how you presented the data to best convey the insights.
  • Provide an example of an analysis where the data did not align with your expectations. Describe the approaches you took to investigate any potential issues.
  • What is your proficiency with the following (please answer none, beginner, intermediate, advanced against each).
Please note that this capability may be tested in a work sample:

a. Python
b. SQL
c. R
d. SPSS
e. Power BI
f. Excel
g. Other (please specify)

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