
Wind Turbine Performance Analyst
- Barcelona
- Permanente
- Tiempo completo
- Developing and maintaining Python-based tools to analyze and interpret AI algorithms, ensuring alignment with domain-specific insights.
- Providing recommendations and protypes to improve the current version of predictive services to ensure product evolution.
- Translating AI results into actionable insights and technical recommendations, supported by robust code and domain understanding.
- Collaborating with cross-functional trams and participating in client meetings to support the team in engineering discussions creating scripts and automated checks to monitor performance and ensure quality of related modules within the platform.
- Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
- Receive guidance from colleagues through coaching, mentoring and participating in international networks,
- Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
- List of country specific life style benefits, just to mention: medical insurance, pension plan, flexible work schedule, training etc.
- Be part of a world growing and renowned organization with origins dating back to 1864.
- Minimum a bachelor's degree in a technical field such as engineering, data science, or similar.
- Proficient coding skills with Python to conduct comprehensive data analysis.
- Experience in the wind energy sector, ideally in areas such as asset management, O&M, performance analysis, engineering, EPC, or technical roles within onshore or offshore wind projects.
- Familiarity with wind turbine components, key performance metrics, and SCADA systems for data acquisition and monitoring.
- Excellent communication skills and the ability to convey complex technical concepts in a clear and precise manner.
- Fluency in English (written and spoken).
- Predictive maintenance.
- Analytics to assess wind performance, component condition, and residual lifetime.
- Experience with vibration CMS data analysis.