Division: Operations

Department: System Modelling

Reference number: 13121

Engagement type: Permanent

AEMO at the Heart of Energy

AEMO is Australia's independent energy system and market operator and system planner. AEMO's purpose is to ensure safe, reliable and affordable energy today, and enable the energy transition for the benefit of all Australians. Australian governments are now committed to a net zero economy for Australia by 2050 and our vision is to enable this. We have the once-in-a-lifetime opportunity to co-design the future of our energy systems, and our core values revolve around character, commitment, and connection. Join us as we contribute to this significant transition in the energy sector.

About the role

AEMO Operations division is at the forefront of the energy transition, managing power system through the energy transition.

As part of the Network Modelling and Information (NMI) team, your role will be an important one, with primary accountability for the management of the provision of data to external stakeholders, and will include data collection, analysis and visualisation of relevant statistics to support business decision.

What you will be doing

• Engaging with internal and external stakeholders to manage the end-to-end provision of data and respond on their queries.
• Maintain, analyse and visualise statistics related to data provision.
• Improve relevant automation scripts written in python for management of data provision activities.
• Support management of the SharePoint site used for data provision to external stakeholders.
• Perform analysis and statistical techniques to identify patterns and future trends.

What you will bring to the role

• Bachelor's degree in data analysis, mathematics, programming or related discipline.
• Experience in the Energy sector is essential, with an understanding of electrical engineering principles, specifically relating to electricity transmission and generation.
• Strong practical experience with Statistics and Artificial Intelligence using tools such as Regression, Clustering, ML and DL.
• Experience writing Python code and using Python libraries, including automated testing and data visualisation techniques.
• Experience in data wrangling and cleansing.

In return some of our benefits to you

• Flexible working: work from home, part time, job share, hybrid options, and additional leave options
• Professional development via projects, industry networks, job rotation, study assistance and more.
• Give back with up to 4 days of volunteering leave per year.
• Reward your hard work with annual performance bonuses (subject to eligibility).
• Embrace a healthier you with our wellness program, discounted health insurance, gym perks and our comprehensive Employee Assistance Program (EAP).

About Our Process

At AEMO we are committed to creating a diverse and inclusive workforce. We welcome people of all backgrounds, including people with disabilities and neurodivergence and those who identify as Aboriginal and/or Torres Strait Islander. If you have any accessibility requirements to support you during the application or interview process, simply let us know by emailing us at t***@********.au