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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in optimizing photovoltaic asset performance and energy storage through data analysis and machine learning techniques. Proficient in developing performance indicators and dashboards to support decision-making and continuous improvement in renewable energy systems.
Highest-signal resume keywords
Data AnalysisMachine Learning TechniquesSCADA SystemsPredictive MaintenancePerformance Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsPerformance IndicatorsRoot Cause AnalysisTechnical ReportingForecastingModeling SystemsEnergy PerformanceReliability KnowledgeAvailability KnowledgePredictive Maintenance Knowledge
Tools & Technologies
PythonPower BIAdvanced ExcelCMMS Software
Industry Keywords
PhotovoltaicsEnergy SystemsRenewable EnergyEnergy StorageContinuous Improvement
Tech Stack
Tools & technologiesPythonTypeScript
About the role
Key responsibilities & impact- Contribute to optimizing the performance of photovoltaic assets and energy storage
- Develop dashboards and performance indicators to monitor assets
- Monitor key indicators and identify root causes of underperformance
- Identify trends, anomalies and opportunities for improvement
- Support decision-making to reduce costs, avoid failures and maximize productivity
- Use data science and machine learning techniques to predict failures
- Define and drive action plans to raise asset performance levels
- Participate in defining KPIs and continuously improving technical reporting
- Propose suitable tools and contribute to the continuous improvement of existing solutions
- Contribute to predictive or performance-based maintenance strategies
- Collaborate with operations and maintenance teams
Requirements
What you’ll need- Master’s degree (Bac +5) in Data Analytics or Industrial Engineering with a specialization in energy systems
- First experience in renewable energy (photovoltaics)
- Proficiency in data analysis tools such as Python, Power BI and advanced Excel
- Strong knowledge of SCADA systems and CMMS (GMAO) software
- Good understanding of the operating principles of photovoltaic installations and batteries
- Ability to interpret technical data, model systems and forecast using data science and machine learning techniques
- Knowledge of reliability, availability, predictive maintenance and energy performance is a plus
- Professional-level English required
Benefits
Comp & perks- Respect, inclusion, diversity and recognition of talent
- Be part of a passionate and committed team
