Data Analytics Manager - Global Banking - 40-55k

Salary
HK$40000 - HK$60000 per month
Location
Hong Kong
Type
Contract
Workplace
On-site
Published
Sep 10, 2024
Ref
BBBH152975_1725962420
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Principal responsibilities:

  • Accountable for defining and shaping the digital messaging propositions across various legacy and new digital platforms - including but not limited to SMS, MMS, Push Notifications as well as other future channels/devices
  • Providing the best-in-class delivery in digital messaging from initial scoping with business units through to the end-to-end development lifecycle as well as post implementation support and measurement
  • The role holder will be a key member of the cross functional delivery teams comprising of participants from business, analytics and data teams that possess a wide range of skills that include and not limited to analysis, market understanding, design, optimization, technology and testing
  • The role holder will strive to ensure flawless execution of digital value added messaging and will provide operational insight and offer a pragmatic approach to design, manufacture and deployment of these messages at the most optimal level.
  • To collaborate with business and perform hands-on analytics for campaign lead generation as well as tracking
  • To understand the business and identify/share business insight from analytics works
  • To manage an offshore delivery team to provide timely and quality analytics deliverables to satisfy business needs effectively under a dynamic business environment

Requirements:

  • University degree in Statistics, Data and Information Management, Mathematics, Computer Science or other related discipline
  • Minimum 5 years' retail banking experience in information and data management
  • Strong self-motivation, organization, multi-tasking, problem solving and influencing skills
  • Ability to communicate effectively with business, operation and technology teams
  • Solid understanding of digital messaging technology (such as SFMC, AEM, etc.)
  • Hands-on experience and knowledge in the end-to-end content development lifecycle as well as post implementation support and measurement
  • Knowledge and/or experience in SAS, SQL, Tableau/QlikSense, Python, Pega is preferred
  • Detail-oriented and zero tolerance on quality/accuracy issue
  • Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery

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