About You:

• You believe in data-driven decisions and use data to answer business questions


• You have a proven track record of delivering results in credit card marketing analytics


• You hit the sweet spot of data, business and technology dimensions and can scale in any of those dimensions if needed


• You are hyper-analytical, intellectually honest, and extremely passionate about analytics and experimentation (A/B testing)


• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance.


• You are energized, fun-loving and an adventurous team player.


• You have excellent interpersonal skills to thrive in a matrix organization with parallel functions & stakeholders to collaborate with
  
   

The Role:

• Be part of a cross functional team that launches PayPal’s new small business credit card into the market


• Partner with a diverse array of stakeholders in PayPal’s Credit card related workstreams for marketing analytics


• Deeply involved throughout the entire credit card marketing lifecycle from marketing strategy development to identification of the marketing population to lessons learnt from marketing campaigns


• Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making


• Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders


• Define and cultivate best practices in analytics instrumentation and experimentation, and business performance.


• Drive automation of repetitive process and build self-serve tools (eg: Tableau Dashboards) to empower business stakeholders.


• Support multiple projects at the same time in a fast-paced, results-oriented environment.
  
   

Requirements:

• Data driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics


• 10+ of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions


• Fluent in SQL, Excel, and visualization tools such as Tableau, Looker or Qlikview; experience with a statistical programming language like R or Python preferred


• Exceptional communication skills, both written and verbal, to influence cross-functional teams


• Prior experience in credit card analytics space is required


• Prior experience in omni channel credit card marketing analytics is preferred