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Your Trusted Partner for Professional Human Resources and Business Consulting Services.

 

 

Zebra is a Listed Company in Hong Kong and a Hong Kong-based human resources services provider and are principally engaged in the provision of staff outsourcing services. We are also engaged in the provision of executive/staff search services and other human resources support services including sale of eHRIS software, payroll outsourcing services and human resources advisory and administration services.

 

 

Our client, a leading financial institution, is now looking for a high caliber candidate to fill up the following position.

 

 

 

 

 

Your Trusted Partner for Professional Human Resources and Business Consulting Services. Zebra is a Listed Company in Hong Kong and a Hong Kong-based human resources services provider and are principally engaged in the provision of staff outsourcing services. We are also engaged in the provision of executive/staff...

Your Trusted Partner for Professional Human Resources and Business Consulting Services.

 

 

Zebra is a Listed Company in Hong Kong and a Hong Kong-based human resources services provider and are principally engaged in the provision of staff outsourcing services. We are also engaged in the provision of executive/staff search services and other human resources support services including sale of eHRIS software, payroll outsourcing services and human resources advisory and administration services.

 

 

Our client, a leading financial institution, is now looking for a high caliber candidate to fill up the following position.

 

 

 

 

 

Senior Manager, Database Marketing - Insurance

Job level Senior
Work exp Minimum 7 Years
Education Bachelor Degree
Location
Eastern District Hong Kong Island, Hong Kong
Employment type Full Time
Industry HR / Recruitment Services
Job function Banking / Finance > Retail Banking / Branch Banking
Banking / Finance > Others
Insurance > Others
Published On 17/07/2018 2018-07-17
  • Apply statistical modeling and quantitative analytic to understand customer behaviour and identify insights in providing recommendation for customer segmentation strategy, cross-sell, up-sell and customer retention
  • Create and continuous enhancement of predictive modelling in improving marketing campaign efficiency.
  • Provide ad-hoc business analyses necessary in recommending business solutions to senior management team of the company.
  • Assist supervisor to build and strengthen customer analytics capability for marketing applications
  • Identify opportunities and provide recommendations for effective business analyses and campaign execution on customer / distribution channels.

 Job Responsibilities

  • Develop the propensity / predictive models to maximize the usage and customer response in customer up-selling / cross-selling campaigns.
  • Drive to develop and implement of customer analytics solution.
  • Monitor movements of customer segments and to continuously provide business insights that are relevant in relation to customer strategy and behaviors;
  • Identify and monitor customer behaviors through researches or marketing activities for deriving customer insights.
  • Perform in-depth customer and campaign analysis with recommendations.
  • Assist the supervision in the design, development and implement of customer analytics solution
  • Contribute ideas on enriching the existing customer data

 Job Requirements

  • Bachelor's degree in Statistics, Computer Science, Mathematics or Actuarial Science with at least 8 years' relevant experience in data mining, data modeling, business/customer analytics or execution of database campaign
  • Demonstrated understanding / proficiency on SAS and SQL
  • Knowledge in SAS EM is preferred
  • Prior experience in financial institutions and knowledge of insurance business is preferred.
  • Results focused, with a track record of achievement
  • Strong interpersonal skill and communication skill in English
  • Proactive and excellent team player, and also can work independently under pressure.

 

 All personal data collected will be kept in strict confidence and would only be used for recruitment purpose.

 

 

 

To find out more about Zebra, visit us at www.zebra.com.hk. 

 

 

 

Please send full resume (MS word) with latest and expected salary to peter.pang@zebra.com.hk.