VP, Team Lead, Customer Proposition Analytics, Data Chapter
- Hong Kong
- Permanent
- Full-time
As the leading bank in Asia, Transformation & Data (T&D) supports our management on the implementation of the Group’s agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.Responsibilities
- Understand business drivers and priorities & identify opportunities where analytics can create significant value
- Explore data sources and conduct exploratory data analysis. Identify data which is relevant to the problems to solve. Create features to make them valuable for analytics
- Translate business problems / opportunities into tangible analytics requirements and recommend potential solutions
- Serve as the bridge between product owners and data specialists to experiment, develop, test and roll out data-driven solutions
- Collaborate with stakeholders to propose and evaluate actions for performance improvements
- Conduct research, analyze, and articulate meaningful insights using data to accelerate business growth
- Build visualization and dashboards to bring analytics result alive for communicating to stakeholders
- Collaborate with data specialists and data engineers to develop data science solutions, ranging from on-demand queries to machine learning models, for business growth, productivity gain and risk mitigation
- Manage end-to-end solution delivery and stakeholders
- Degree in Business Analytics, Mathematics, Statistics, Computer Science, Information Engineering, or related disciplines
- Related accreditation obtained via MOOC or other education institutions is a plus.
- 10+ years of experience in data analytics
- Functional / technical competencies:
- Strong business analysis skills
- Solid experience in understanding and visualizing data in the most effective way possible for a given project
- Well versed with data analytics techniques like predictive, prescriptive and machine learning
- Working knowledge in data wrangling in Python to perform analysis independently
- Banking domain knowledge is a must
- Experience in cloud computing (e.g. Cloudera, AWS) and big data computation framework (e.g. Spark) is a must
- Working knowledge in building visualization including dashboards. Experience in Qlikview / Qlik Sense is a plus
- Soft skills:
- Ability to navigate in a complex environment to drive outcome with stakeholders
- Ability to clearly articulating data deliverables in a manner easily understood in oral and written format
- Strong management and communication skills
- Be collaborative to help business with a can-do spirit
- Passionate in new technologies and eager to learn attitude.
- Proficient in English and Chinese
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