职位描述
Data Governance: Develop and implement a data governance framework to ensure data quality, consistency, security, and compliance.
Data Analysis and Mining: Use data analysis tools and techniques to extract insights from business data, supporting business decision-making(E.g. Assisting for TPP analysis etc.).
Data Science and Machine Learning: Develop and deploy machine learning models to drive business intelligence (E.g. predictive maintenance & anomaly detection in shopfloor).
Data Quality Management: Monitor data quality, establish data quality metrics, and regularly assess the health of data.
职位要求
Professional Knowledge:
- Familiarity with data governance frameworks (e.g., DAMA-DMBOK, DCAM, etc.).
- Proficiency in data analysis methods (e.g., statistical analysis, visual analysis, etc.) and data science techniques (e.g., machine learning, etc.).
Technical Skills:
- Proficient in data analysis tools (e.g., Python, R, SQL, Tableau, Power BI, etc.). And Familiarity with data science tools and frameworks (e.g., TensorFlow)
- Knowledge of data governance tools (e.g., Collibra, etc.). And Possess basic programming skills and the ability to collaborate with development teams.
Communication and Collaboration Skills:
- Ability to effectively communicate with various stakeholders and capable of cross-departmental collaboration and project management.
Transformation Management Skills:
- Ability to drive organizational change and enhance the team's acceptance and execution of data governance and data analysis.
- Possess training and educational capabilities to empower team members.