Việc làm NHÀ SÁCH TIẾN THỌ
Cập nhật 18/12/2024 20:55
Tìm thấy 7 việc làm đang tuyển dụng
Apac Data Analyst
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
Đang cập nhật
Hạn nộp hồ sơ:
31/12/2024
Hình thức:
Toàn thời gian
Kinh nghiệm:
Không yêu cầu
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
Địa điểm làm việc
- 74 Nguyễn Thị Minh Khai, Phường 6, Quận 3, Hồ Chí Minh
Mô tả công việc
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.
• 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.
Yêu cầu công việc
Technical Background (MUST)
Bachelor's degree in relevant field such as engineering in electrical, mechanical, mechatronic, industrial, aerospace, renewable, environmental Science.
Business Acumen:
Industry knowledge: familiarity with the wind energy sector, including knowledge of wind turbine technology and energy production metrics is a huge PLUS
Bachelor/ master's degree in business administration/ finance or relevant is a plus
Understanding of business operations and strategy.
Experience in the APAC market is a plus.
Data Visualization Expertise:
Proficiency in tools like (number 1) Power BI/ Microsoft Fabric.
Adding tools: SQL, Python, R, and data visualization software such as Tableau.
Statistical Analysis: Strong understanding of statistical methods and data modeling.
Data Management: Experience with data cleaning, data warehousing, and ETL (Extract, Transform,
Load) processes.
Skilled in creating interactive and insightful visualizations.
Other soft skills:
Strong proven writing and oral communications skills in English.
Structured, organized with good planning abilities and delivery capability Structured, organized with
good planning abilities and delivery capability.
Able to interact with different corporate and international cultures.
Collect, organize, analyze and present information with attention to detail and accuracy.
Assertiveness/ authority
Why Join Us:
Competitive salary and benefits.
Opportunity to impact business decisions.
Collaborative and innovative work environment.
Opportunities to experience diversified cultures and environments.
Cross-Country Collaboration: Work
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.
Join us and make a difference with your data expertise!
Bachelor's degree in relevant field such as engineering in electrical, mechanical, mechatronic, industrial, aerospace, renewable, environmental Science.
Business Acumen:
Industry knowledge: familiarity with the wind energy sector, including knowledge of wind turbine technology and energy production metrics is a huge PLUS
Bachelor/ master's degree in business administration/ finance or relevant is a plus
Understanding of business operations and strategy.
Experience in the APAC market is a plus.
Data Visualization Expertise:
Proficiency in tools like (number 1) Power BI/ Microsoft Fabric.
Adding tools: SQL, Python, R, and data visualization software such as Tableau.
Statistical Analysis: Strong understanding of statistical methods and data modeling.
Data Management: Experience with data cleaning, data warehousing, and ETL (Extract, Transform,
Load) processes.
Skilled in creating interactive and insightful visualizations.
Other soft skills:
Strong proven writing and oral communications skills in English.
Structured, organized with good planning abilities and delivery capability Structured, organized with
good planning abilities and delivery capability.
Able to interact with different corporate and international cultures.
Collect, organize, analyze and present information with attention to detail and accuracy.
Assertiveness/ authority
Why Join Us:
Competitive salary and benefits.
Opportunity to impact business decisions.
Collaborative and innovative work environment.
Opportunities to experience diversified cultures and environments.
Cross-Country Collaboration: Work
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.
Join us and make a difference with your data expertise!
Quyền lợi được hưởng
Thưởng
Competitive salary
Chăm sóc sức khoẻ
Premium Healthcare for employee and dependents
Nghỉ phép có lương
Annual leave, sick leaves, paternity leaves
Competitive salary
Chăm sóc sức khoẻ
Premium Healthcare for employee and dependents
Nghỉ phép có lương
Annual leave, sick leaves, paternity leaves
Khu vực
NHÀ SÁCH TIẾN THỌ
Xem trang công ty
Quy mô:
200 - 500 nhân viên
Địa điểm:
Nhà Sách Tiến Thọ là tổ hợp nhà sách và khu vui chơi dành cho trẻ em. Tầng 1 là nơi chuyên cung cấp cho mọi lứa tuổi các loại sách như: văn học, giáo khoa, ngoại văn,... cùng các loại văn phòng phẩm, đồ trang trí,... Tầng 2 là khu vui chơi dành cho các bé với các trò chơi như: nhà bóng, cầu trượt. Nhà Sách Tiến Thọ còn thường xuyên tổ chức những buổi biểu diễn nhỏ để các bé có trải nghiệm vui vẻ và sống động hơn.
Chính sách bảo hiểm
- Hưởng chế độ chính sách BHYT
- Hưởng BHXH
Các hoạt động ngoại khóa
- Môi trường làm việc chuyên nghiệp, năng động, thân thiện
- Team building
Lịch sử thành lập
- Nhà sách Tiến Thọ được thành lập từ năm 1997, ban đầu chỉ là một cửa tiệm sách cũ ở 612 Đường Láng. Sau đó, nhà sách Tiến Thọ đã phát triển lĩnh vực bán buôn và bán lẻ sách, văn phòng phẩm, đồ chơi, quà tặng, phụ kiện. Năm 2010, nhà sách Tiến Thọ đã chuyển sang cơ sở mới ở 828 Đường Láng với diện tích 620m2.
Mission
- Nhà sách Tiến Thọ không chỉ là nơi bán hàng mà còn là nơi giao lưu, học hỏi và giải trí cho các bạn đọc yêu sách. Nhà sách Tiến Thọ luôn cập nhật các tựa sách mới và hot nhất trên thị trường, có nhiều chương trình khuyến mãi và ưu đãi hấp dẫn cho khách hàng.
Review NHÀ SÁCH TIẾN THỌ
2.5
2 review
25/11/2024
★
★
★
★
★
Nhân viên
tại Hồ Chí Minh
Việc chân tay ko quá vất vả nên lương thấp
17/10/2024
★
★
★
★
★
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