Head of Data & Analytics – Talentnet Corporation

Website Talentnet Corporation


The Head of Data & Analytics is responsible to develop and drive the data strategy for the loyalty program. Put in places the toolkit, environment and team to manage data analytics for the CRM and Loyalty Program. Conduct all quantitative analysis and provides statistical methods for CRM and loyalty marketing strategy. This position is also required to provide structure, methodological approach and possess an understanding of various applied methods. This person will collaborate with Product, Partnerships & Marketing on developing the sequencing, methodology development and testing of all tactical CRM modelling including RFM and predictive modelling, lifetime value assessments, offer targeting and trigger-based modelling.

  • Analytically derive a deep understanding of customer attitudes and behaviours and identify exploitation opportunities communicating complex analysis in readily understood business terms
  • Work with large, complex consumer datasets to extract insights, including the use of world-class advanced analytical methodologies. Recommend and incorporate qualitative customer data to enhance these insights.
  • Work with both structured and unstructured data and employ a variety of tools and techniques for analysis and visualization
  • Based on these analytically-derived insights, recommend and help prioritize business actions at a customer specific or customer segment level. Drive a CRM / customer interaction strategy that will yield additional engagement and revenue.
  • Create and maintain a “dashboard” of customer metrics and trends to educate and provide visibility to the Loyalty team about customer behaviour
  • Respond to ad-hoc requests from the business heads in their desires to further understand customer behaviour
  • Build and lead the Data & Analytics team
  • Introduce and manage data governance principles to ensure quality and ownership of all data
  • Designs and develops methods, processes and systems to consolidate and analyze unstructured / diverse big data sources to provide actionable insights and solutions
  • Provide recommendations for plans, programs, strategies, policies, and budgets to management team
  • Develop data strategy and annual plan for the loyalty program
  • Select and implement the analytics toolkit


Education & Work Experience

  • Advanced degree in a quantitative field such as Statistics, Data science, Machine Learning, Computer Science, Mathematics or other related field
  • Proven experience with applying quantitative disciplines in the consumer and loyalty marketing arena. These disciplines incorporate unstructured data mining, pattern recognition, financial analytics, and optimization.
  • At least 10 years of relevant experience in consumer insights and embedding analytical results into the decision-making process
  • Work experience in consumer acquisition, loyalty, or engagement marketing
  • Experience within database marketing
  • Experience leading teams of technical professionals that drive innovation
  • Experience with financial, NPV analysis

Skills & Personal Attributes

  • Excellent communication skills with the ability to assimilate and distill information to create and present actionable insights to management team
  • Strong capability to apply marketing analytics, customer insight and marketing data to business and marketing strategies
  • Prone to knowledge sharing with great communication and synthesis skills
  • Good understanding of marketing analysis, database, direct marketing,
  • loyalty marketing solutions and their business applications
  • Excel in understanding and applying customer data, analytics and market research to business issues
  • Ability to inform, explain, advise and consult with internal teams on practical development and application of activity based on customer data
  • Excellent attention to the detail, verbal and written communication skills

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