Business Function
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
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.
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
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
We regret only shortlisted candidates will be notified.
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