Data & Analytics

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Manager, Global Lifecycle Analytics

Data & Analytics

Singapore Permanent S$120000.00 - S$160000.00 per annum

Salt is seeking a business-savvy and action-oriented strategic analyst to join the Marketing Analytics team as Manager of Customer Lifecycle analytics for one of our fintech clients. In this role, you will be responsible for providing analytic insights and recommendations to enable the application of best practices in product and marketing customer lifecycle management. Your core responsibility will be to provide exceptional analytical insights that form the basis of a global lifecycle framework and GTM strategy delivering the right message to the right customer at the right time. This will include collaborating with Data Scientists to develop globally scalable models to drive recommendations, offers, content, and channel decisions.

for our client we are seeking a business-savvy and action-oriented strategic analyst to join its Marketing Analytics team as Manager of Customer Lifecycle analytics. In this role, you will be responsible for providing analytic insights and recommendations to enable the application of best practices in product and marketing customer lifecycle management. Your core responsibility will be to provide exceptional analytical insights that form the basis of a global lifecycle framework and GTM strategy delivering the right message to the right customer at the right time. This will include collaborating with Data Scientists to develop globally scalable models to drive recommendations, offers, content, and channel decisions.

This rare opportunity for a stellar analytics professional involves creative freedom in generating insights, stakeholder management across multiple global teams and direct influence on our roadmap. This highly visible role will make a significant contribution to the growth of our global business.

What you will do:

  • Manage global customer segmentation, identify growth drivers and increase customer lifetime value

  • Own customer funnel, lifecycle and LTV analysis used in guiding business decision-making and marketing investments across business units.

  • Use cutting-edge analytics and solid business judgment to identify, prioritize, structure and solve complex business problems
    Perform deep-dive descriptive and predictive analysis on very large, complex, multi-dimensional datasets

  • Present recommendations to senior-level executives and measure effectiveness of recommendations by monitoring their impact

    Who we are looking for:

    • You are a strategic thought leader with exceptional analytical and problem-solving capabilities, not a data monkey

    • You have a passion for problem solving and the hunger to constantly ask “why?”

    • You are creative, love ambiguity and thrive by driving financial results and improving

      customer experiences
      You have high energy, excellent communication skills and strong executive presence

    • You have strong business judgment and the ability to take ambiguous business problems

      and solve them in a structured, hypothesis-driven, data-supported way

Technical requirements:

  • At least 1-2 years of practical experience in one or more approaches such as Random Forest, Neural Networks, Support Vector Machines, Gradient Boosting, Bayesian Networks, Deep Learning

  • Significant experience analyzing complex, multi-dimensional data sets using SQL, Hadoop/Hive, SAS, R and/or Python

  • Knowledge of statistics (e.g., multivariate statistics, regression modelling, predictive modeling, controlled test design, time-series modeling) a required

  • Hands-on experience in one or more of the following areas: multi-channel marketing, customer segmentation, lifecycle /funnel analytics, LTV analysis, predictive modeling

    Education & Work Experience Requirements:

  • MBA or quantitative PhD/MS degree from a top-tier institution is required

  • Experience in end-to-end lifecycle analytics or a top-tier strategy consulting (BCG, Bain,

    McKinsey etc) is a strong plus

  • Significant work experience gained in related fields such as marketing analytics, product

    management, finance, management consulting, or within a technology organization is required

Job Reference: JO-1802-132085

Salary: S$120000.00 - S$160000.00 per annum

Salary per: Annum

Job Duration:

Job Start Date: ASAP

Job Type:

Job Location:

Job Industry:

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