Our client is global company with total capital over 20 billion USD and 60,000+ employees worldwide
Key Responsibilities
- Understand data & analytics challenge faced by business to identify digital-enabled opportunities
- Work with key business stakeholders, BG digital head and other relevant digital/IT staff to co-define data & analytics strategy (e.g. prioritized value cases, data governance framework, analytics approaches and technical platforms)
- Assist data & analytics business owner to propose process & organization optimization to achieve smooth execution of above framework & approaches
- Translate data & analytics related business requirements into actionable technical realization approaches and features of data & analytics technical platform/product Work with digital project manager, solution architect, DevOps engineer and 3rd party vendors to develop and deploy country-level data & analytics technical platforms
- Guide value case discovery at BG level and oversee development & deployment of BG-level data & analytics technical products (e.g. dashboard, analytics technical approaches)
- Lead data & analytics projects at China level if bandwidth allows(e.g. China data warehouse)
Qualifications
- Bachelor’s or Master of Science, physics, computer science, business informatics, mathematics, engineering or similar fields.
- 10+ years of working experience in data science or advanced data analysis. Management experience Familiar with agile methods and advanced experience in pattern recognition and predictive modeling
- Expertise with scripting tools, e.g. Python, Pearl or JavaScript, statistics tools, e. g. Matlab, SAS, relational databases, e. g. Oracle, SAP R/3 or MS SQL, Query tools (SQL or noSQL) and Business Intelligence tools, e. g. Power BI.
- Knowledge of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc.
- Knowledge and application experience in advanced statistical techniques and concepts, including, regression, distribution properties, statistical testing, etc. Experience/knowledge in statistics and data mining techniques, including, random forest, GLM/regression, social network analysis, text mining, etc.
- Have sharp analytical and problem-solving skills as well as excellent team spirit. Experience using and developing data architectures
...
