PV Performance Data Analyst
7 days ago
Informations générales
Référence
Equans_71870
Date de parution
/12/2025
Filière Métier
Réf métier Bouygues SA - TRAVAUX
Intitulé du poste
PV Performance Data Analyst
Contrat
CDI
Temps de travail
Temps complet
Description de la mission
Company Overview
Leveraging decades of experience, Equans Solar & Storage is the one-stop partner for scaled, integrated and high-performance solutions on solar & storage energy projects.
Our mission: serving the energy transition and providing low-carbon solutions by empowering the deployment and integration of solar and storage solutions.
We provide solar PV & hybrid plants, energy storage, innovation and solar PV B2B customers.
Operating in 15 countries, with more than 1,500 experts dedicated to solar PV and high voltage, Equans Solar & Storage has installed over 6GW solar energy capacity worldwide, 550 MWh of battery energy storage systems (BESS) projects and is operating and maintaining approximately 2GW of solar PV plants.
Position Overview
We are seeking a highly analytical and detail-oriented PV Performance Data Analyst to support the operation and optimization of our growing portfolio of utility-scale solar power plants. The ideal candidate will leverage date analytics to assess plant performance, identify inefficiencies, and help drive strategic improvements across a portfolio of solar asset.
Key Responsibilities
- Monitor and analyze real-time and historical data from SCADA, hypervisors and other monitoring systems across our global solar O&M portfolio. Includes collection, triage and analysis of data from sites as well as maintenance operations, requiring regular collaboration with site teams and/or O&M managers.
- Develop and maintain performance dashboards, reports, and KPIs for internal and external stakeholders. Comparison of actual performance data with forecasts (availability, Performance Ratio, Yield, EPI) in particular.
- Perform root cause analysis of underperformance issues (e.g., inverter faults, soiling, weather impacts, grid limitation, equipment degradation).
- Collaborate with O&M and engineering teams to implement data-driven performance improvement initiatives.
- Identify anomalies and develop automated alerting systems to flag operational issues.
- Develop in-house tools for data analytics that can be used across a diverse portfolio of assets.
- Assist with data cleaning, integrity checks, and sensor calibration validations.
- Provide insights during the commissioning phase to validate expected vs. actual performance and support the acceptance tests.
- Coordinate the onboarding of newly connected plants to our hypervisors in the agreed timeline.
- Keep abreast of technological and commercial market developments and to inform senior management of any salient information.
Qualifications & Skills
- Bachelor's degree in Data Science, Engineering, Renewable Energy, Physics, or a related field.
- 3+ years of experience in energy data analytics, or a related role.
- Proficiency in Microsoft Excel. Experience in analysis of time series, knowledge of visualisation tools like Power BI and Python programming is considered an asset.
- Knowledge of PV systems / electrical equipment. Experience with SCADA systems is considered an asset.
- Familiarity with databases and big data management. Able to work independently on MySQL, API and capacity for ETL on large datasets.
- Familiarity with CAD files and experience in design or schematics of solar farms (layouts, electrical diagrams, etc.), understanding of PV design concepts and global vision on construction & exploitation of projects. Knowledge of PVSyst is considered an asset.
- Organizational skills, reporting skills, attention to detail and good written and spoken communication skills. Team player, solution-oriented.
- Fluent in English. Knowledge of French and/or Spanish are considered a plus.
To learn more about us visit the Equans Solar & Storage webpage.
Profil
Retrouvez les informations sur le profil recherché dans la description du poste ci-dessus
Ville
London
E-mail opérationnel
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