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Data Analyst- Living Learning


  • Full-time opportunity
  • Contribute to the lives of others
  • Competitive remuneration + salary packaging

About the program

The Living Learning program is Melbourne City Mission’s first outcomes funded program under a Social Impact Bond (SIB) structure. The Victorian Government’s Partnership Addressing Disadvantage (PAD) Implementation Agreement (IA) outlines the program and the funding model for Living Learning. Social Impact Bonds are a relatively new funding model in Australia and Victoria.

Living Learning works with young people who are persistently not in employment, in education or training (NEET) and who have a mental health condition. Through the supports offered by Living Learning, the aim of the program is to re-engage young people into the Hester Hornbrook Academy, to stabilise their mental health and work with them over three years to achieve education outcomes and subsequently cost savings for government.

About the role

The Data Analyst is responsible for developing the Living Learning data project, connecting the program logic with data collection, analysis and visualisation. A draft data set, reporting protocol and dashboard has been developed and the Data Analyst is responsible for implementing and refining this system.

Duties of this role may include but are not limited to:

  • Support the Living Learning team in the delivery of data analytics, program reporting, integrity and compliance to help achieve program objectives and KPIs.
  • Identify, analyse and interpret trends or patterns in data sets, including potentially introducing new data sets or discontinuing collection or analysis of redundant data sets.
  • Develop and maintain a systematic approach to producing reports using various software packages including MS Excel and Power BI.
  • Work with internal and external stakeholders to gather and validate reporting requirements.
  • Identify and recommend new ways to streamline business reporting and associated processes.

Skills and experience


  • Tertiary qualification in data analytics or a relevant discipline.
  • A high level of mathematical and analytical ability.
  • Sound understanding of the principles of good governance in relation to data integrity and all areas of applicable legislative compliance.
  • Demonstrated experience in;
    • Collection, analysis and presentation of data;
    • Managing data sets, including sorting relevant and irrelevant data;
    • Generating clear, concise reports from complex data sets;
    • Using data to refine and test ideas;
    • Using digital platforms (e.g. PowerBI, Tableau etc.) to provide visual data reporting.
Download a position description for the full duties and key selection criteria

How to apply

  • Applications to be sent via the Apply Now button which opens up an application form on the MCM Website
  • Applications should include a current CV and cover letter. You should also address the key selection criteria (if required).
  • If you are a current MCM employee, please submit your application via the myHR job board
  • Aboriginal and Torres Strait Islander people are encouraged to apply.
  • Applications close date 27 January 2021. We reserve the right to interview and appoint prior to the closing date.
For more details or assistance with application submission please email:

Applicants will be required to undergo a pre-employment safety screening process as part of the MCM selection process. Appointments to MCM roles will be subject to the following safety screening checks (as applicable to the role): National (and International if applicable) Police Check (which includes Proof of Identity Check), Corrections Victoria Security Screening, Victorian Employee Working with Children Check, Right to Work in Australia and current and valid driver licence. All costs associated with safety checks (except National Police Check) will be at applicants’ expense.

Position details

  • Date posted

    13 January 2021
  • Closing Date

    27 January 2021
  • Location

    Kings Way
  • Work type

Apply now
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