Engineering Data Analyst - multiple opportunities at ElectraNet
Greater Adelaide, South Australia, Australia -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

109400.0

Posted On

09 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT ELECTRANET

ElectraNet builds, owns, operates and maintains the high voltage electricity transmission network which delivers the energy South Australians rely on to power our homes, businesses and communities. Our employees describe our culture as one that is supportive, inclusive, and community-oriented, where we genuinely want each other to succeed.

ABOUT YOU

You’re a curious, analytical problem-solver with a strong foundation in programming and a passion for improving systems. You bring:

  • A passion for data-driven problem solving and a sharp eye for identifying inefficiencies in engineering workflows
  • Demonstrated programming skills (Python, C, or similar)
  • Experience applying data science principles to practical challenges
  • A proactive mindset with strong investigative and critical thinking skills
  • Proven ability to automate repetitive tasks and streamline workflows
  • Experience in project support or controls, ideally in a corporate or engineering environment
  • Strong attention to detail and a continuous improvement focus
  • Tertiary qualification in Engineering, Computer Science, Data Science or equivalent

We understand the importance of work-life balance and are pleased to offer flexible working arrangements. We welcome applications from candidates seeking part-time employment (0.6 FTE or greater).

How To Apply:

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Responsibilities
  • Support project engineering delivery by closing out Asbuilt documentation and ensuring compliance.
  • Drive efficiency by automating repetitive engineering tasks using tools like Power Automate and leveraging programming and data science techniques.
  • Apply data analysis and mathematical concepts to investigate team issues and improve response times, aligned with Responsible AI and Data Governance frameworks.
  • Collaborate proactively with team members to identify opportunities, deliver scalable solutions, and support compliance reporting
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