VinFast

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.

RESPONSIBILITIES

· 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

· 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.