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Analytics Lead (Marketing Advisory)

Kuala Lumpur Job No. 12272304 Full-time - Hybrid

Job Description

Responsibilities:

  • As an Analytics & Modeling Practitioner, you will be responsible for leveraging your expertise in Data & AI Solution Architecture to design and implement effective solutions.
  • In this role, you will be expected to analyze complex data sets, perform statistical analysis, and develop predictive models to support business decisions.
  • You will also be responsible for interpreting data, identifying trends, and communicating insights to stakeholders.
  • You must have expert proficiency in Data & AI Solution Architecture. Having expert proficiency in Data Analysis & Interpretation, Predictive Modeling and Analytics, and advanced proficiency in Statistical Analysis will be advantageous.
  • Design and implement data and AI solutions to support business decisions.
  • Analyze complex data sets and perform statistical analysis to identify trends and insights.
  • Develop predictive models to support business decisions.
  • Interpret data and communicate insights to stakeholders.

Qualifications

  • Relevant years experience with the bulk of experience focused on the marketing analytics and advisory space
  • Bachelor's Degree required - preferably in Econometrics, Statistics, Economics, Marketing, or Computer Science with emphasis in Statistics; Masters preferred
  • Experience in the analysis of Marketing data using analytics or statistical modeling tools
  • Ability to validate and derive insight from large amounts of data from diverse sources
  • Strong aptitude, ability, motivation and interest in placing quantitative analysis in the context of marketing and business economics
  • Experience in customer-level data analysis (customer segmentation, predictive modeling, etc.) experience with SQL a plus
  • Previous work on analytic projects in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations, Marketing Intelligence & Competitive Analysis
  • Strong written and verbal communication skills
  • Excellent cohesive team spirit

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