Apac Data Analyst

Main responsibilities
• Reinforce the overall level on data analysis of the employees by building a network of first level data analysis network among the organizations.
• 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.
• Responsible to provide Service analysis and KPIs using related data from the wind turbines and department performance indicators including financial data.
• 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.
• Provide evidence and argumentation lines to defend favorable business- oriented case for ENERCON against Customer over data.
• Provide periodical report on Service performance.
• 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 Maintenance: Explore data- driven strategies to optimize maintenance protocols, reducing downtime, and increasing the availability of WECs.
• 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.
• Predictive Analytics: Analyse sensor data to identify patterns indicative of wear or impending failure.
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.

Bachelor&039;s degree in relevant field such as engineering in electrical, mechanical, mechatronic, industrial, aerospace, renewable, environmental Science.
Technical Background (MUST)
Business Acumen:
Understanding of business operations and strategy.
Industry knowledge: familiarity with the wind energy sector, including knowledge of wind turbine technology and energy production metrics is a huge PLUS
Experience in the APAC market is a plus.
Bachelor/ master&039;s degree in business administration/ finance or relevant is a plus
Data Visualization Expertise:
Proficiency in tools like (number 1) Power BI/ Microsoft Fabric.
Statistical Analysis: Strong understanding of statistical methods and data modeling.
Data Management: Experience with data cleaning, data warehousing, and ETL (Extract, Transform,
Adding tools: SQL, Python, R, and data visualization software such as Tableau.
Load) processes.
Skilled in creating interactive and insightful visualizations.
Other soft skills:
good planning abilities and delivery capability.
Strong proven writing and oral communications skills in English.
Collect, organize, analyze and present information with attention to detail and accuracy.
Able to interact with different corporate and international cultures.
Structured, organized with good planning abilities and delivery capability Structured, organized with
Assertiveness/ authority
Why Join Us:
Opportunities to experience diversified cultures and environments.
Competitive salary and benefits.
Cross- Country Collaboration: Work
Join us and make a difference with your data expertise!
Opportunity to impact business decisions.
closely with teams across various countries, leveraging your skills in data
analysis to influence strategic decisions and optimize operations.
Please Note: Only candidates who meet the specified qualifications will be contacted.
Collaborative and innovative work environment.

Thưởng
Chăm sóc sức khoẻ
Premium Healthcare for employee and dependents
Nghỉ phép có lương
Annual leave, sick leaves, paternity leaves
Competitive salary

Cập nhật gần nhất lúc: 2024-12-06 13:20:02