Campaign Data Science Lead for Customer Analytics

Bank of China (Hong Kong) Limited

Hong Kong

Presencial

HKD 650 000 - 900 000

Tempo integral

Há 3 dias
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Resumo da oferta

Bank of China (Hong Kong) Limited is seeking a Customer Analytics & Data Science Manager (Campaign) in Hong Kong to work with business users on identifying target segments and selection criteria for new acquisition, cross-selling, up-selling, and usage stimulation.

You will implement propensity and predictive models in marketing campaigns to maximize response, provide pre- and post-campaign analysis for cost efficiency, and produce analytics reports for regular and campaign-specific needs while

Qualificações

  • Degree holder in quantitative or related discipline.
  • At least 3 years relevant experience in financial services marketing analytics.
  • Proven competence in SAS programming, Excel, VBA, PowerPoint, database design and management, and user requirement write-ups.
  • Strong communication, presentation, and project management skills in English and Chinese.

Responsabilidades

  • Work collaboratively with business users identifying target customer segments and selection criteria for new acquisition, cross-selling, up-selling, and usage stimulation.
  • Incorporate and implement propensity and predictive models into marketing campaigns to maximize customer response.
  • Make well-reasoned comments and recommendations to improve marketing cost efficiency through pre-campaign analysis and post-campaign evaluation.
  • Produce analytics reports for both regular and campaign-specific needs.
  • Participate in analytical model development to achieve business objectives.
  • Identify and coordinate special projects and initiatives.

Conhecimentos

SAS Programming
Excel
VBA
PowerPoint
Database design
Requirements gathering

Formação académica

Degree in quantitative or related

Descrição da oferta de emprego

Bank of China (Hong Kong) Limited is seeking a Customer Analytics & Data Science Manager (Campaign) in Hong Kong to work with business users on identifying target segments and selection criteria for new acquisition, cross-selling, up-selling, and usage stimulation.

You will implement propensity and predictive models in marketing campaigns to maximize response, provide pre- and post-campaign analysis for cost efficiency, and produce analytics reports for regular and campaign-specific needs while

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