Analyst - Operational Forecasting

Overview

Join to apply for the Analyst - Operational Forecasting role at Australian Energy Market Operator (AEMO).

Role details

• Division: Operations
• Department: Operational Support
• Reference number: 12529
• Engagement type: Permanent

About the role

AEMO's Operational Support division plays a critical role in real-time electricity system operations across Australia. The division is responsible for supporting AEMO's control rooms through the delivery of high-quality data, systems, training, assessment and operational planning advice. Within Operational Support, the Operational Forecasting team is responsible for the short-term forecasts that feed into key operational and market systems in the National Electricity Market (NEM) and Wholesale Electricity Market (WEM). These forecasts are essential for supporting network outage planning, reliability assessments, and real-time operational decision-making across the short-term horizon. AEMO's Operational Forecasting team is recognised globally for its leadership in short-term forecasting practices. The team is looking to expand its capability to keep up with the complexity of forecasting an increasingly weather-dependent power system.

What You Will Be Doing

As an Analyst in the Operational Forecasting team, you will support the development, implementation and continuous improvement of forecast models for electricity demand, distributed photovoltaics (PV), and variable renewable energy generation central to AEMO's market systems in both the NEM and WEM.

Key Responsibilities

• Manage operational forecasting models for electricity demand, rooftop PV, grid-scale solar farms, and wind farms, including updating inputs, parameters and variables to reflect system changes and improve performance.
• Collaborate with AEMO's weather providers and control rooms to translate weather risks into system impacts and ensure operators have the information they need.
• Coordinate across teams and markets to align tools, data and forecasting processes between the NEM and WEM.
• Contribute energy and weather information and insights into operational advisories, power system incident reviews and market reports to support secure and reliable power system operations.
• Support upgrades of forecasting applications, reform deliveries and digital enhancements to improve the performance and reliability of forecasting systems and processes.

What You Will Bring To The Role

• Tertiary qualifications in science, engineering, mathematics, meteorology or a related statistical discipline.
• Experience in the energy sector or similar industry, preferably in an operations, forecasting or analytical role.
• Clear and confident communication skills, both written and verbal, including experience preparing high-quality reports and presentations to communicate technical information to a broad range of internal and external stakeholders and the ability to translate technical insights into operational and stakeholder-relevant advice.
• Working knowledge of data analysis and statistical modelling techniques, including PowerBI, Databricks, SQL and Excel.
• Ability to work collaboratively in a team environment and across multiple projects.

Benefits

• 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).

Accessibility and 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

#J-18808-Ljbffr

---