ACCIONA Energía is the biggest 100% renewable energy company with no fossil legacy in the world. With more than 30 years of experience and operations in 20 countries on five continents, ACCIONA Energía offers a wide portfolio of tailored energy solutions so that its corporate and institutional clients can meet their decarbonisation goals. This includes the development, engineering, construction, operation and maintenance of renewable power plants -mainly wind and photovoltaic technologies-, energy sales and management and marketing, energy services, self-consumption, electric mobility and new technologies such as storage and green hydrogen. ACCIONA Energía is governed by the most demanding environmental, social and corporate governance (ESG) criteria.

The purpose of this role is to manage and optimise the data used for control, reporting, and analysis to monitor Acciona Energia’s Australian operational KPIs and business area budgeting, whilst driving data-driven decision-making by providing actionable insights and recommendations. This role supports diverse efforts aimed at optimising resource use and improving overall business efficiency.

• Reporting & Analysis: Compile, analyse, and deliver periodic reports on wind farm performance, ensuring data accuracy and timely distribution to stakeholders.
• Data Management: Maintain data integrity and consistency across tools, dashboards (e.g., Power BI), and databases, supporting data-driven decision-making.
• Automation & Digitalisation: Streamline reporting through automation and implement digital solutions like AI/ML to enhance operational efficiency.
• Governance & Strategy: Align data practices with cybersecurity, governance standards, and business objectives, ensuring compliance and strategic coherence.
• Collaboration & Support: Work with local and international teams to promote data literacy, provide training, and ensure alignment with Acciona’s global practices.
• Operational Improvement: Lead cross-functional projects, support budgeting processes, and drive predictive maintenance initiatives using historical data.

Degrees-Certificates/Training: University degree: Science or Engineering.
Profile: Skills according to the role
Languages/Level: English/Advanced
Years/Areas of experience: TBD years in similar posts.

As a company that values diversity as a source of talent, we work to foster an inclusive environment that promotes respect, belonging and engagement so that all people can participate on an equal opportunity basis. We invite everyone to apply regardless of origin, circumstances, background or condition.