Manager, Global Lifecycle Analytics - PayPal

Job Reference: HR100
Employer/Agency: PayPal
Location: Singapore
Experience:
Salary/Package: On application
Job Sector: General Management & Consulting
Date Posted:
Closing Date:

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 210 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
When applying for a job you are required to create an account, if you have already created account - click Sign In.
Creating an account will allow you to follow the progress of your applications.
Note:
Provide full legal first Name/Family Name
Provide full address details
Multiple attachments can be uploaded including Resume and Cover Letter for each application

Job Description Summary:
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.
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.
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

Connect To Us