Graduate - Data Analytics and Modelling

4 months ago

Adelaide, Australia SA Government -DEPARTMENT FOR INFRASTRUCTURE AND TRANSPORT Full time

**Department for Infrastructure and Transport**
**Job reference**: 626210
**Location**: 5000 - ADELAIDE
**Job status**: Long Term Contract
**Eligibility**: Open to Everyone

Are you ready to contribute data-led solutions and insights to help guide decision-making processes that benefit the South Australian community? Kick-start your career with us and be part of a team dedicated to transforming how data is managed and utilised to address business challenges. In this role, you’ll explore opportunities for data-led initiatives that make a tangible impact for South Australia

The Department for Infrastructure and Transport connects South Australians to keep our State moving. We want every South Australian to easily access the services they want, the transport they rely on and the infrastructure they need.

For us, it’s personal. We feel it because we live it. We know the projects and services we work on today must deliver for South Australia’ s future.

We value diversity and inclusion and foster an environment of collaboration, flexibility, and support for our people.

**The Opportunity**
Our Data Science and Engineering teams lead the department’s analytics capability, designing, building, and maintaining data infrastructure platforms. These platforms support everything from descriptive to prescriptive analytics, ensuring that decisions are backed by efficient, data-driven insights.

We are looking to establish a pool of graduates for both immediately available opportunities at the start of 2025 and that may come up over the following 12 months.

**About You**
We’d love to hear from graduates who have completed a minimum three-year degree, **within the last three years**, in:

- Data Analytics
- Computer Science
- Data Science
- Geospatial Information Systems
- Statistics
- Mathematics
- Or equivalent/related field.

**Why Join Us**
- **Career Development**: We offer comprehensive training programs, mentorship opportunities, and clear career progression paths to help you grow.
- **Health and Wellbeing**: DIT support a wide range of Health and wellbeing initiatives such as Employee Assistance Program (EAP), free annual flu vaccinations, and the Fitness Passport program.
- **Flexible Working Arrangements**: Enjoy work-life balance with options like flexi time, working from home, various working arrangements, purchased leave and more.
- **Impactful Work**: Be part of projects that make a tangible difference in the community and contribute to South Australia’s future.

**Salary**
Year 1: ASO3 - $67,589 per annum, plus 11.5% employer super contributions

**To find out more about our Graduate Program, and watch a video about a day in the life of our graduates**:Entry-level Pathway**

**Applicants must have the following**:

- Undergraduate qualifications received between the years 2022 and 2025.
- Australian citizenship, permanent residency or a visa that allows them to work in Australia.
- National Police Check (or be willing to get one) and may also be required to undergo other employment checks.

**Ready to apply?**
- Curriculum vitae/resume with contact details of three references (professional and/or character)
- A cover letter (maximum two pages) highlighting the following criteria:
- Why you would like to work for DIT.
- What you will bring to our organisation.
- An example of how you have fostered positive relationships and worked collaboratively within a team.
- An example of your problem-solving skills and how you undertook research or analysis to inform your solution.
- An example that demonstrates how you have planned, prioritised and organised work to ensure agreed timelines are met.
- Academic transcript (official or most recent).

**Our Commitment**

Role Statement - Data Analytics and Modelling Graduate (ASO3)

**Applications close**: 27/10/2024 11:00 PM

**Flexibility Statement**
The South Australian public sector promotes diversity and flexible ways of working including part-time. Applicants are encouraged to discuss the flexible working arrangements for this role.

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