Trường Đại học Nguyễn Tất Thành 4.0 ★

Main responsibilities
• Responsible to provide Service analysis and KPIs using related data from the wind turbines and department performance indicators including financial data.
• Provide periodical report on Service performance.
• Responsible to Generating, monitoring, analyzing wind farm performance data and translate this into customer (internal/external) information and advice by means of statistics, overviews, data collections and reports.
• Provide evidence and argumentation lines to defend favorable business-oriented case for ENERCON against Customer over data.
• Generating official report on trial operation run for new turbines before takeover and Commissioning Reports for RTU/SCADA/FCU E2.
• Wind Turbine Optimization: Perform data analytics to enhance the performance and efficiency of wind turbines, maximizing energy output and extending turbine lifespan.
• Predictive Analytics: Analyse sensor data to identify patterns indicative of wear or impending failure.
• Predictive Maintenance: Explore data-driven strategies to optimize maintenance protocols, reducing downtime, and increasing the availability of WECs.
• Reinforce the overall level on data analysis of the employees by building a network of first level data analysis network among the organizations.
• Development of tools, methods, documentation and processes in order to improve the qualitative and efficient handling of technical issues and instructing and advising of relevant internal departments.
• Respond to queries on the technical performance and monitor any deviations in the technical performance in order to improve the overall business case of a wind farm.
Secondary Responsibilities:
• Streamline business intelligence solutions through automation, continuous improvement and lean management techniques where possible.
• Work with colleagues and peers across the global Data Analyst Community to aid knowledge, information and best practice sharing.
• Support Regional teams to understand and utilize Service Operations indicators.
• Future Trends: Get a glimpse of the future, where data analytics continues to drive innovation in wind energy, supporting global sustainability goals.