Greenvolt Power is our segment dedicated to the Development Construction of utility-scale solar and wind projects. We value local expertise and empower our partners, counting already with business presence in more 16 countries (Europe North America).

The Performance Monitoring Optimization

Analyst is responsible for supporting the monitoring, analysis, and optimization of Greenvolt Power's utility-scale renewable energy asset portfolio. The role focuses on tracking asset performance, identifying underperformance events, analyzing operational data, and supporting the implementation of corrective and optimization actions to maximize energy yield, availability, and long-term asset value. The analyst works closely with Asset Management, O M Strategy Best Practices, and OT Digital teams to ensure performance insights are translated into actionable recommendations and operational improvements across the portfolio.

Key Responsibilities Performance Monitoring Analysis Monitor the operational performance of renewable energy assets, including solar PV, wind, and BESS projects. Track key performance indicators (KPIs), availability, production figures, and performance ratios across the portfolio. Identify performance deviations, underperformance events, and emerging trends through continuous data analysis.

Support root cause analysis of production losses and equipment performance issues. Compare presente asset performance against expected production models, P50/P90 estimates, budgets, and contractual performance targets.

Reporting Data Analysis

Prepare regular performance reports, dashboards, and KPI summaries for Asset Managers and internal stakeholders. Analyse operational and SCADA data to identify opportunities for performance improvement. Support the preparation of monthly, quarterly, and annual performance reviews. Ensure data quality, consistency, and accuracy within performance monitoring systems and reports.



Contribute to the development and maintenance of automated reporting tools and performance dashboards.

Optimization Continuous Improvement

Support the identification and evaluation of performance improvement opportunities across the operating portfolio. Track corrective actions and optimization initiatives, monitoring implementation progress and effectiveness. Assist in analysing equipment degradation trends, recurring failures, and performance risks.

Cross-Functional Collaboration Work closely with Asset Managers to communicate performance findings and support improvement action plans. Collaborate with O M teams and contractors to investigate performance issues and validate corrective measures. Support the OT Digital team in improving monitoring platforms, reporting systems, and analytical tools.

Participate in performance review meetings and technical discussions as required.

Requirements Qualifications Bachelor's degree in Electrical Engineering, Energy Engineering, Renewable Energy, Physics, Data Science, or a related technical discipline. 2-5 years of experience in performance monitoring, operational analysis, asset management, or a related technical role within the renewable energy or power generation sector.

Experience working with utility-scale renewable energy assets, preferably solar PV, wind, or BESS. Familiarity with SCADA systems, monitoring platforms, and operational performance reporting. Knowledge of energy yield assessment, performance ratios, availability calculations, and loss analysis methodologies is considered an advantage.

Knowledge Skills

Strong analytical and problem-solving skills, with the ability to interpret operational and performance data. Familiarity with SCADA systems, monitoring platforms, and data visualization tools. Proficiency in Excel and data analysis tools;

experience with Power BI, Python, SQL, or similar tools is considered an advantage. Ability to identify trends, anomalies, and opportunities for performance improvement. Strong attention to detail and data accuracy.

Fluent

English required;

📌 Performance Monitoring & Optimization Analyst (Madrid)
🏢 Greenvolt
📍 Madrid