Hang Seng Bank

Assistant Data Analytics and CRM Manager | 人才服务办公室

6 天前发布

立刻申请

职位描述

A Career with Hang Seng Bank

Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.

Principal responsibilities:

  • Collaborate with business, perform customer analysis, design customer journey and develop innovative analytics solutions to support strategic initiatives.
  • Keen to take initiatives to translate business problems into analytics-led solutions with appropriate methodology, manage the business application effectively and evaluate the results rigorously.
  • Explore the data and conduct quantitative analysis to ascertain root cause of business' issues, identifies opportunities and effective targeting for business growth potential.
  • Collaborate with cross-functional teams to integrate analytics into business processes and decision-making.
  • Design and develop dashboards and reporting tools for performance monitoring.
  • Ensure timely and quality analytics deliverables to satisfy business needs effectively under the dynamic business environment.
  • Contribute to team development, effectiveness and success by sharing knowledge and good practice, working collaboratively with others to create a productive, diverse and supportive working environment.

Requirements:

  • University degree in in Data Science, Statistics, Computer Science, Information Systems or other related discipline.
  • Minimum of 4 years’ experience in data analytics, preferably with strong knowledge of wealth products in banking industry.
  • Proficiency in data analytics tools (e.g. SQL / Big Query, Python) and visualization software (e.g. Tableau, Qlik Sense).
  • Strong problem-solving skill, with the ability to analyses complex data, identify core issues and recommend solutions.
  • Ability to communicate with impact, with the capacity to ensure complex information is articulated in a meaningful way to a wide and varied audience.
  • Customer-centric oriented, with good interpersonal, organizational, and presentation skills.
  • Passionate and willingness of continue learning.
  • Self-motivated professional with great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery.

Visit Hang Seng Career Page and sign up with our Talent Community to receive the latest information about our career opportunities in Hang Seng Hong Kong.

All information provided by applicants will be used only for recruitment purposes and will be used strictly in accordance with the Bank's personal data policies, a copy of which may be obtained by the applicant upon request. Unless otherwise instructed in writing by the applicant concerned, applicants may be considered for other suitable positions within the Bank and its related companies. The personal data of unsuccessful job applicants may be retained for a maximum of two years from the date when the job application is rejected and such data may be retained for a longer period if there is a subsisting reason that obliges the Bank to do so, after which the personal data will be destroyed.

其他细节

职位空缺来源
CTgoodjobs
参考编号
3151715-01#2050
发布日期
13 May 2025
关键词
Banking / Finance - Analyst,Banking / Finance - Technology,Banking / Finance - General / Others,Information Technology - Data Analytics / Data Science / Big Data,Information Technology - General / Others,Banking,Mong Kok,Full-time,Permanent,Middle management level,Degree,Analytics,Business Applications,Business Growth,Business Process,Computer Science,Customer Centric,Customer Service Delivery,Data Analyst,Data Analytics,Data Science,Decision-Making,Design,Google BigQuery,Performance Monitoring,Presentation Skills,Problem Solving,Python (Programming Language),Qlik Sense,Quantitative Analysis,Reporting Tools,Root Cause,SQL,Statistics,Tableau,Team Development,Visualization

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