PayPal Manager, Global Lifecycle Analytics in Singapore, Singapore

Manager, Global Lifecycle Analyticsin Singaporeat PayPal

Date Posted: 10/12/2017

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Job Snapshot

  • Employee Type: Full-Time

  • Location:

  • Job Type:

  • Experience: Not Specified

  • Date Posted: 10/12/2017

  • Job ID: R0023593

About Us

HELP US REIMAGINE MONEY.

At PayPal, we believe that now is the time to democratize financial services so that moving and managing money is a right for all citizens, not just the affluent. We are driven by this purpose, and we uphold our cultural values of collaboration, innovation, wellness and inclusion as our guide for making decisions and conducting business every day. It is our duty and privilege to be customer champions and put those we serve at the center of everything we do.

We are one team that respects and values diversity of thought for everyone, everywhere, and we actively seek to create an energizing workplace that brings out the best in all of us. If you’re ready to shape the future of money, join the team at PayPal. We're proud to work here. You will be too.

Job Description

PayPal is 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.

PayPal is 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

  • Deep 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) 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

R0023593

Individuals seeking employment at PayPal are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You have the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.