Manager, Sales Performance, Investment & Insurance Analytics

  • Competitive
  • Kuala Lumpur, Malaysia
  • Permanent, Full time
  • Hong Leong Bank Berhad
  • 17 Oct 18

Manager, Sales Performance, Investment & Insurance Analytics

Job Responsibilities

  • Provide analytical leadership to the team to identify sales growth opportunities and develop strategies towards profitability, including a creative ability to use data to derive insights to support the business.
  • Identify and conceptualise exciting insights, opportunities and new target segments to meet key business goals in acquisition, retention and cross selling for credit card and personal loans
  • Coordinate key initiatives and manage business relationships with key business partners in Product, Credit, Operations and Finance
  • Develop segmentations across portfolios and analyze revenue, profitability, spend behavior, merchant utilization etc
  • Manage the team to ensure that standard reporting and MIS requirements are performed and delivered successfully and on time by the team. Develop and provide trend reports, performance dashboards and MIS statistics to product managers and senior managers
  • Train team members as needed on analytic processes, tools and problem solving.
  • Develop segmentations across customer base such as revolver/ transactor segment, card lifecycle, etc. and analyze product revenue, fee revenue, profitability, etc.
  • Design Credit Card marketing campaigns to test & learn around response propensity, pricing sensitivity, best time to contact, offer sequencing.


  • Minimum 10 years' experience in analytics, market research or marketing.
  • Strong quantitative skills required including academic background in mathematics, statistics business management, economics or other similar discipline.
  • Strong analytical, conceptual and reasoning skills to present analysis and findings in a crisp, clear and concise manner.
  • Prior experience managing a small to medium sized team is preferred
  • Strong project management skills and ability to prioritise work streams effectively.
  • Working knowledge of SAS, SQL or other programming languages is desirable.