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Customer Analytics & Data Science Manager (Campaign) at Bank of China (Hong Kong) Limited

, , -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SAS Programming, Excel, VBA, PowerPoint, Database Design, Database Management, Predictive Modeling, Customer Segmentation, Project Management, Data Analysis, Communication, Presentation Skills

Industry

Banking

Description

RESPONSIBILITIES: * Work collaboratively with business user identifying target customer segments and selection criteria for new acquisition/ cross-selling / up-selling/ usage stimulation * Provide campaign execution supports driving for segment/ product direction & strategies * Incorporate and implement propensity / predictive models into marketing campaigns to maximize customer response * Make well reasoned comments and recommendation to help on marketing cost efficiency through effective pre-campaign analysis and post-campaign evaluation * Produce analytics reports for both regular and campaign specific needs * Take part in analytical model development to achieve business objectives * Identify and coordinate special projects and initiatives REQUIREMENTS: * Degree holder with major in quantitative, numerical science or related disciplines * At least 3 years relevant working experience, preferably in financial service industry with proven track record and exposure in database marketing, database development, report tracking and automation * Possess proven competence in SAS Programming, Excel, VBA, PowerPoint, database design and management, and user requirement write-ups * A mature self-starter with strong drive, motivation, good business sense, remarkable problem solving skills, and good interpersonal, negotiation and project management skills * Excellent communication and presentation skills with good command of English and Chinese in both spoken and written including Putonghua

Responsibilities

Collaborate with business users to identify target customer segments and implement predictive models for marketing campaigns. Provide analytical reports and evaluations to optimize marketing cost efficiency and achieve business objectives.