Senior Data Analyst / Data Analyst (Data Scientist)
Responsibilities: - Support the data governance of data platform, including data requirement management, data ingestion management and authorization management
- Design and deliver data science solution for a given use case or business problem statement
- Develop algorithms and statistical predictive models to identify business challenges and opportunities, and support developing business strategies
- Analyze structured and unstructured data, visualize findings, discover insights and propose new business models
- Support the analytics data model maintenance and data asset management
- Perform data analysis to support business objectives
- Develop analytics reports and visualization dashboard for business monitoring and delivering insights
- Collaborate with business users and IT to ideate and introduce new data science innovations into business areas such as UX / UI, marketing and risk management
Requirements: - Degree or above in Mathematics, Statistics, Information Technology or relevant disciplines
- Proficiency in Python, R, or similar analytically oriented programming languages
- Knowledge of open source packages such as Tensorflow
- Experience with data visualization tools such as Tableau
- 5+ years' experience relating to data analytics, with at least 3 years in modern analysis methods and machine learning kits such as but not limited to Random Forest, Markov Chain analysis, Gradient boosting, Pathway analysis, Collaborative Filtering, Neural Networks, Self-organizing Maps. Less working experience would be considered as junior data analyst/data scientist
- Banking, Financial Services or FinTech industry experience preferred
- Strong analytical mindset and problem solving skills
- Excellent communication and presentation skills with good command of English and Chinese in both spoken and written, including Putonghua
