Data Analyst (Energy)

Job Description

About the Role

This role offers an opportunity to contribute to a leading utility scale IPP within Australias energy transition. You will work handson with operational and SCADA data across wind solar battery and other generation technologies helping to identify underperformance quantify losses and strengthen inhouse analytics capability.

The role combines core operational analytics performance reporting stakeholder engagement and continuous improvement with scope to contribute to advanced analytics automation and AIenabled tooling over time.

Key Responsibilities

• Analyse validate and manage SCADA and operational data across the asset portfolio ensuring data quality and integrity.
• Build own and maintain data pipelines databases dashboards and analytical models to support asset performance monitoring and decisionmaking.
• Calculate validate and report asset availability performance curtailment and loss metrics in line with contractual regulatory and internal standards.
• Analyse site and componentlevel performance to identify underperformance degradation and emerging faults and support root cause analysis with Asset Management O&M and Engineering teams.
• Validate contractorsubmitted performance reports availability calculations and liquidated damages and support due diligence refinancing and acquisition processes through performance analysis.
• Support market and operational insights through collaboration with Trading including NEM dispatch and curtailment analysis while championing improved analytics tools and datadriven approaches.

About You

• Tertiary qualifications in Data Science Engineering Renewable Energy Mathematics Computer Science Physics or a related analytical discipline
• 3 years experience in a data analytics role within renewable energy.
• Strong proficiency in Power BI and Excel for analysis and reporting
• Working knowledge of Python or R for data analysis and automation SQL for data querying and experience with timeseries or SCADA data
• Interest or exposure to AI and machine learning techniques such as anomaly detection forecasting or classification
• Selfmotivated organised and capable of managing multiple priorities in a fastpaced operational environment

If youre interested in this role please apply or send your CV to