Current opportunities at Melbourne

Research Assistant/Data Analyst

Job no: 0054657

Work type: Fixed Term

Location: Parkville

Division/Faculty: Faculty of Medicine, Dentistry and Health Sciences

Department/School: School of Health Sciences

Salary: $75,289 - $102,163 (Level A)

Role & Superannuation rate: Academic - Full time - 17% super

Founded in 1853, the University of Melbourne is Australia’s #1 university, and is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.

About Department of Social Work

Social Work was established at The University of Melbourne in 1940 and continues to be one of the leading departments in the Asia-Pacific region. In July 2009, Social Work became a Department of the School of Health Sciences, in the Faculty of Medicine, Dentistry and Health Sciences.

Social Work has a significant research profile and close local and national links with key human service agencies in the government and non-government sectors, social work professional bodies and other major social work schools internationally.

Since 2008 the Social Work has been offering a qualifying Master of Social Work Degree as well as several specialist Masters post-qualifying courses. In 2016, in a new development for the Department, it began offering online post-qualifying courses.  Social Work also has a long standing, strong and vibrant PhD program focused on training future leaders in the profession and academia.  As noted earlier, the major research themes within Social Work are child and family welfare (particularly domestic and family violence prevention), health, mental health and disability, and criminal justice.

About the Role

Department of Social Work is seeking experienced quantitative researchers/data analysts to perform data analysis on large national datasets across multiple countries in the Pacific.

There are multiple data sets available for secondary analysis including UNICEF MICS using the DHS DV module, National Census Data, and Household Income and Expenditure surveys (HIES).  Secondary analysis will be on the topics of domestic violence, gender, youth and disability.

As there are multiple data sets available, there are multiple positions available. The successful applicants will have experience working with at least one of these national data sets in either SPSS or STATA. Most analysis will be descriptive, but some statistical knowledge would be an advantage.  The duties will include data checking, analysis and interpretation of data as well as translating the data into stakeholder reports by producing tables and figures. Experience with data visualization would be an advantage.

About You

It is expected that the successful applicant would be able to work both independently and directly to the project manager. Good time management is essential with some initial reporting required by the end of 2021.

The program of research will extend into 2022 and this contract will be offered for a minimum of 3 months with extensions probable as we negotiate 2022 workplans.  Our research team sits within a larger group of researchers in the Melbourne Alliance to End Violence Against Women

Ideally, you will have:

  • Experience with at least one of the data file types (MICS, Census, HIES)
  • Advanced experience in data analysis with SPSS or STATA
  • Advanced experience in data checking and analysis
  • Attention to detail
  • Ability to work independently and keep to timelines
  • Flexibility to respond to project manager needs as required
  • Desire to learn about and work in the area of violence against women and children across the Asia-Pacific region
  • Experience in analysis on the subjects of gender-based violence, disability and youth issues
  • Experience in report writing
  • Experience in collaborating with international stakeholder groups and data owners to understand local context for analysis and key messages
  • Some knowledge of statistics for significance testing
  • Able to conduct a regression analysis

Benefits of Working with Us

In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

  • Flexible working arrangements and generous personal, parental and cultural leave options
  • Competitive remuneration, 17% super, salary packaging and leave loading
  • Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
  • Discounts on a wide range of products and services including Myki cards and Qantas Club
  • Career development opportunities and 25% off graduate courses for staff and their immediate families

To find out more, please visit

Be Yourself @ UoM

We recognise that our employees are at the core of all our successes and achievements. We value the unique backgrounds, experiences and contributions that each person brings to our community, and we encourage and celebrate diversity. We promote inclusive behaviour, and we actively seek to learn from each other. Indigenous Australians are strongly encouraged to apply for our roles.

Join Us!

If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria* (found in the Position Description) for the role.

*For information to help you with compiling short statements to answer the selection criteria and competencies, please go to

Should you require any reasonable adjustments with the recruitment process, please contact the Talent Acquisition team at We look forward to receiving your application!

Position Description: Download File Data Analyst -SW_HealthSciencesRecruitment PD.pdf

Position Description

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