Manager – Customer & Business Analytics

Intermediate (3-6 years)

Technical Skills

  • Algorithms
  • Apache Hadoop
  • API
  • Big Data
  • Data Mining
  • Data Science
  • Machine Learning
  • Marketing
  • Mathematics
  • Project Management
  • Python
  • Sales
  • SAS (Statistical Software)
  • SQL
  • Statistics

Job Description

Manager – Customer & Business Analytics

Location: Hong Kong

Job Role: Big data/ Data Modelling
  • Manage the development of different predictive models and statistically rigorous advanced model scripts to support data science & analytics initiatives
  • Perform advanced analysis using statistical techniques & algorithms to facilitating effective targeting, segmentation, and identification of opportunities around cross-sell / up-sell, retention and marketing program optimization
  • Work on Big data projects with both regional team and local team to expand data science discipline into business application spectrum
  • Ability to perform the big data analytics processes on massive data sets from different data sources: explanatory and targeted data analyses, generate and test working hypotheses, analyze historical data and identify features & signals
  • Captures, tracks and dynamically diagnose models-in-use for effectiveness (e.g. Gradient boosting tree, Random forest etc.)
  • Work with business partners and external vendors / partners on acquiring and compiling new external data sources for the enrichment of big data analytics database
Data Visualization
  • Manage BI solution development and implementation for various MI reporting
  • Deliver insights from the data visualization process and to identity business strategies from customer-centric approach
  • Analyse existing customer, product and distribution channel data to identify, recommend areas for further improvements
Customer Insights into business application
  • Deploy analytics capabilities ranging from organization BI to advanced models to improve ongoing insight generation process and the application of such in business relevant way
  • Commercialization of insights from data scientists under a customer-centric, need-based context and turn into strategy to business lines and distribution models
  • Turn data into actionable information: provide expert analysis in the area of understanding data values & insights and converting them into business actions
  • Ability to successfully convey all valuable insights with business action recommendations to senior management through effective presentation
Project Management
  • Adhoc strategy projects covering regional data & API management, customer segmentation, customer campaigns, business strategy reviews etc.


Qualifcation Requirement:
  • Graduate or advanced degree qualifications in quantitative related subjects (e.g. Statistics, Maths, Engineering, Actuarial, etc). PhD or MBA would be an added advantage
  • 4-9 years of relevant working experience in data analytics field as statistician / analyst / data scientist
  • Good knowledge of predictive modelling, big data analysis, and data science projects: machine learning, statistical modeling, and data mining techniques & algorithms (e.g. logistic regression, linear regression, random forest, neural network, cluster analysis, time series, survival analysis etc.)
  • Must have proficiency in scripting/programming language like Python, R, SAS, SQL
  • Must have hands on experience on Hadoop, Hue, Spark, HIVE
  • Previous exposure to / knowledge of insurance industry will be an asset
  • Strong analytical mind with focus on attention to detail
  • Proactive and with a can-do attitude
  • Good command of English, Cantonese and preferably Mandarin
Assistant Manager /Manager grade offering based on experience level
Employment TypeFull-time
Career LevelIntermediate (3-6 years)
Education LevelBachelor to Doctoral
LanguageEnglish, Cantonese, Mandarin (Putonghua)
AXAInsurance and Reinsurance

42/F., AXA Tower, Landmark East, 100 How Ming Street, Kwun Tong

directions_walk8 mins walk from Kwun Tong Station