Manager, Segment, Revenue & Channel Analytics

  • Competitive
  • Kuala Lumpur, Malaysia
  • Permanent, Full time
  • Hong Leong Bank Berhad
  • 24 Feb 18 2018-02-24

Manager, Segment, Revenue & Channel Analytics

The position will lead Analytics team in providing valuable analysis and insights on Hong Leong's digital and non-digital channels. This position will be at the forefront in strategizing Hong Leong's omni-channel aspiration in order to provide superior customer experience journey and increase efficiency of each channel


Key Responsibilities

  • Demonstrate analytical leadership to the team to identify trends and opportunities to increase efficiency across all channels. Develop comprehensive analysis and structured dashboard for all stakeholders' consumption. Link channels preference to different segments, revenue, products in order to provide insights on cross-sell opportunities.
  • Lead omni-channel strategic development in ensuring unified and consistent customer experience across all channels.
  • Produce meaningful marketing KPI dashboards and monthly, cross channel Performance reports with actionable insight.
  • Provide Digital Analytics insight for online customer behavior to encourage digital migration and online sales opportunities. Ability to identify trends and analysis in order to optimize digital UX/UI.
  • Coordinate monthly reviews and manage business relationships with key stakeholders and partners in Segment, Product, Digital Banking and Channel Teams
  • Manage Operational Campaigns including preparation of leads, champion-challenger pilots, tracking campaign response and post mortem on campaigns
  • Participate in the development and application of channel behavior scorecards, pricing elasticity models, propensity models, CHAID analysis, cluster and regression statistical tools on different initiatives

Qualifications:


  • The successful candidate will need to have a strong background on Analytics and Reporting. A strong background on Decision Management role is highly desirable.
  • Minimum 10 years' experience in Product/ Channel Analytics or Decision Management in any industry. Experience in Banking and Insurance industry will be an added advantage
  • Strong quantitative skills required including academic background in mathematics, statistics, business management, economics, engineering or other similar discipline.
  • Excellent Knowledge and previous experience on statistical modeling such as decision tree tools like CHAID or Logistic Regression
  • Knowledge of working with SAS, SQL or other programming languages.
  • Possess good writing and presentation skills