Senior Associate/Associate, Data/Business Analyst, Customer Proposition Analytics, Institutiona
7 days ago
Job Description - Senior Associate/Associate, Data/Business Analyst, Customer Proposition Analytics, Institutional Banking (2500003D)
Job Description
Senior Associate/Associate, Data/Business Analyst, Customer Proposition Analytics, Institutional Banking - ( 2500003D )
Business Function
As the leading bank in Asia, Group Strategy, Transformation, Analytics and Research (GSTAR) supports our management on the implementation of the Group's agenda. Data Chapter, organized under GSTAR, 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
- Design and develop analytics with meaningful insights, including but not limited to modeling, to drive business growth and mitigate risk for Institutional Banking
- 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.
- Collaborate with stakeholders to propose and evaluate actions for performance improvements.
- Develop business analytics capability in line with use cases identified.
- Build visualization and dashboards to bring analytics result alive for communicating to stakeholders.
- Be a persuasive storyteller to communicate analytics results to stakeholders in plain language.
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.
- 5+ years of experience in data analytics
- Functional / technical competencies:
- Conversant with working on tremendous volume of data. Capable to draw insights and design solutions including but not limited to data science context.
- Sound knowledge in statistics, with data analytics techniques like predictive, prescriptive and machine learning.
- Working knowledge in data wrangling in Python to perform analysis independently
- Working knowledge in building visualization including dashboards. Experience in Qlikview / Qlik Sense is a plus
- Banking domain knowledge is a plus
- Experience in cloud computing (e.g. Cloudera, AWS) and big data computation framework (e.g. Spark) is a plus.
- 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
- 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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