Senior Data Analyst

TẬP ĐOÀN VINGROUP - CÔNG TY TNHH DỊCH VỤ VÀ KINH DOANH VINFAST (VINFAST SERVICE)

Địa điểm làm việc: Hà Nội

Hết hạn: 20/06/2024

Chi tiết công việc
Giới thiệu công ty

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Mô tả công việc

Mô tả công việc
Tóm tắt công việc
Advise and provide business with insights from ecosystem in manufacturing industry to meet specific business objectives.
Build data solutions using data lake, data warehouse, data mining, data visualization and statistical analysis techniques, to create solutions that enable enhanced business performance.
Understand stakeholder's requirements, analyze data from ecosystem in manufacturing industry and then propose the solution to meet their specific goals.
Obtain and integrate data from various sources into the centralized AWS cloud platform.
Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve.
Develop Dashboard/ analytical reports to communicate the performance metrics to stakeholders effectively.
Proficiency in data visualization tools (Power BI, Tableau, QuickSight, etc.)
Collaborate with data engineer team to ensure data accuracy and put high commitment for data quality improvement.
Stay up to date with industry trends, and emerging technologies in data analysis to drive innovation and enhance analytical capabilities.
Highly motivated and customer-oriented mindset

Yêu cầu công việc

Yêu cầu công việc
Bachelor's/ master's degree in business information system, information technology, computer science, accounting, or economics.
At least 5 years of relevant experience in areas of data analysis, designing & building dimensional data models, ETL processes, data warehouse concepts and methodologies.
At least 3 full cycles of data warehouse, data analysis implementation projects
Experience in querying databases and using programming languages (SQL, Python, R, etc.) and cloud environments (AWS, Azure, Google Cloud, etc.)
Familiarity with SAP would be a big advantage.
Proven experience as data analyst in manufacturing industry is a plus.
Knowledge of data governance & data quality is a plus.
Experience monitoring complex systems and solving data and systems issues having a consistent and algorithmic approach to resolving them.
Demonstrated ability to lead the team and work with minimal supervision.
Understanding of agile principles, practices, and scrum methodologies.