Operational Data Intelligence Specialist

3 days ago

Sydney, New South Wales, Australia SA Water Full time
About SA Water

We are a successful, modern water utility wholly owned by the Government of South Australia.

Our diverse service area spans from Ceduna to Port Augusta, the Anangu Pitjantjatjara Yankunytjatjara (APY) Lands, across to the Riverland, down to Mount Gambier, and most places in between.

For over 165 years, we have been innovating and delivering efficient and sustainable water services to our customers.

About the Role

This 2-year maximum term position as an Operational Data Intelligence Specialist will play a critical role in enhancing data, analytics, and business intelligence capabilities within our Operations team.

You will support the standardisation of operational data management practices, driving improvements in performance, quality, and compliance.

Your work will foster a data-driven culture, enabling better decision-making across the asset operations lifecycle.

Key Responsibilities
  • Lead performance reporting and analysis to identify risks, opportunities, and optimise product quality and process efficiency, collaborating with key stakeholders.
  • Drive continuous improvement by reviewing performance measurement frameworks and operating targets.
  • Implement consistent data management practices to align with enterprise data and technology strategies.
  • Support operations teams in performance optimisation initiatives and deliver agreed improvements.
  • Develop data analytics tools for proactive diagnosis of treatment performance issues.
  • Train operations staff on digital field data capture and visualisation tools.
  • Create and maintain documentation to ensure business continuity of operations data management.
  • Provide stakeholders with access to reliable, trusted data sources across operations.
What You'll Need
  • A strong educational background in Computer Science, Information Systems, Data Analytics, Data Science or similar disciplines.
  • Solid interpersonal skills and an ability to work with a wide range of stakeholders.
  • Advanced data analytics capability and familiarity of data analytics tools and techniques including R and Python.
  • Experience in handling large volumes of data and providing analysis of the data to inform effective business decisions.
  • Ability to communicate effectively both verbally and in writing and to work autonomously and as part of a team.
  • Proven problem solving and analytical skills and abilities.
  • High degree of computer literacy.
Estimated Salary: $85,000 - $110,000 per annum

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