Requirements

• First degree in Mathematics, Computer Science, Engineering or other related marketing or Social Science discipline
  
• Fluent in English
  

• Experience working in a medium organization.
  
• Solid understanding of predictive analysis: predictive modelling, machine learning and data mining.
  
• Proficient in using two programming languages out of R, python, SAS and SQL.
  
• Good understanding of customer data analysis, propensity modelling and segmentation techniques; excellent understanding of data manipulation and interrogation techniques.
  
• Good knowledge of statistical modeling techniques and algorithms.
  

• Collect, analyze, interpret, and summarize data in preparation for generation of statistical and analytical reports and provide intelligence that supports decision-making.
  
• Coordinate data requests with respect to pre and post return on investment data extraction, data sample for analytics, and other ad-hoc requirements.
  
• Support CVM commercial team to identify opportunity base for campaign creation.
  
• Utilize specified statistical software to analyze and interpret research data, as appropriate to the individual position.
  
• Understand customer demographics, usage and behavior to drive decision making on retention and value creation.
  
• Provide support to campaign segmentation analyst as required.
  
• Contribute and participate in campaign idea generation meetings and cross functional Customer Lifecycle Management meeting as required
  
• Extract, analyse and interpret data and advanced analytical models to generate insight to aid marketing strategy and product development and implementation
  
• Works with campaign management team to understand customer needs and develop proactive and innovative data driven solutions and campaigns.