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Data Analytics & CRM Manager | Banking

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Onsite

Data Analytics & CRM Manager | Banking

Peoplebank Hong Kong Limited

Data Analytics & CRM Manager | Banking

Skills

SQL QueriesTableauPythonData AnalysisAICRMLead Generation

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Hong Kong

Work mode:

Onsite

Published on:

25 August 2026

What they need


You will drive the digital messaging propositions across legacy and new digital platforms to ensure flawless execution of value-added communications within the banking sector. Collaborating closely with cross-functional teams, you will perform hands-on analytics for campaign lead generation, track performance, and translate data into actionable insights that optimize customer service delivery

Responsibilities

  • Deliver digital messaging propositions across various legacy and new digital platforms including eDM, SMS, MMS, and Push Notifications
  • Provide end-to-end management of the digital messaging delivery lifecycle from initial scoping through development, post-implementation support, and measurement
  • Collaborate with cross-functional business, analytics, and technology teams to design, manufacture, and deploy optimized digital messages
  • Perform hands-on data analytics for campaign lead generation and post-campaign tracking
  • Identify and share strategic insights derived from data analytics to drive business growth
  • Provide operational insights to ensure efficient, effective, and flawless customer service delivery processes

Requirement

  • University degree in Statistics, Data and Information Management, Mathematics, Computer Science, or a related discipline
  • At least 2 years’ retail banking experience specializing in information and data management
  • Proven experience in AI-related projects such as AI agents and AI Retrieval-Augmented Generation (RAG)
  • Strong hands-on technical skills in Python and SQL
  • Solid understanding of digital messaging technologies like SFMC and AEM alongside analytics tools like SAS, Tableau, QlikSense, or Pega
  • Track record in data-related roles or campaign management within the financial services industry

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