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 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
Manage end-to-end solution delivery and stakeholders
Requirements
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.
3+ years of experience in data analytics
Functional / technical competencies:
Strong business analysis skills with a proven ability to translate business needs into analytical solutions
Solid knowledge in data wrangling in Python to perform analysis independently
Experience in cloud computing (e.g. GCP, AWS) and big data computation framework (e.g. Spark) is a must
Banking domain knowledge is a plus, especially solid understanding of insurance products, branch operations, and regulatory requirements
Working knowledge in building visualization including dashboards. Experience in Qlik Sense is a plus
Solid experience in understanding and visualizing data in the most effective way possible for a given project
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
Passionate in new technologies and eager to learn attitude
Strong resource planning and communication skills
Be collaborative to help business with a can-do spirit
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