About You:

• You believe in data-driven decisions and use data to answer business questions and drive product roadmap.
• 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:

• Partner with stakeholders (Business Owners, Product, Finance Marketing ) on PayPal s Merchant Credit related workstreams to support Merchant Credit products and business analytics.
• Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and product prioritization.
• Synthesizing 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 product and 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
• 4 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 work experience in a product/business analytics space would be highly valued. (Good understanding of PL, A/B testing principles is expected)