APAC Data Analyst

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.