Develop dashboards and performance indicators to monitor assets.
Contribute to the digitalization of O&M activities (automation, modeling, AI).
Monitor key indicators and identify the root causes of underperformance.
Identify trends, anomalies and opportunities for improvement.
Support decision-making to reduce costs, prevent failures and maximize productivity.
Use data science or machine learning techniques to predict failures or estimate equipment lifetimes.
Define and lead action plans aimed at improving asset performance levels.
Participate in defining KPIs and in the continuous improvement of technical reporting.

Master's degree (or equivalent) in Data Analytics or Industrial Engineering with a specialization in energy systems.
Initial experience in renewable energy (photovoltaics).
Proficiency in data analysis tools such as Python, Power BI and advanced Excel.
Solid knowledge of SCADA systems and CMMS (GMAO) software.
Good understanding of photovoltaic installations and battery systems.
Able to interpret technical data, and to model and forecast using data science and machine learning techniques.
Knowledge of reliability, availability, predictive maintenance and energy performance is a plus.
Professional working proficiency in English is required.

Asset Performance Analyst

Key skills