Lead - Analytics - ITeS/IT

Lead analytics - Branded New Products

Job Description :

About You :

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

- You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)

- 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

The Role :

- Partner with stakeholders (e.g., product, engineering) on the auth rate team to build and continually improve/optimize PayPal's auth rate metric

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

- Achieving best in the industry auth rate by delivering actionable, data-driven insights that help understand opportunities for optimization and also enable decision making

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

- Guide and mentor a group of team members on day to day delivery

- Define and cultivate best practices in analytics instrumentation and experimentation

- 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

- At least seven years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions

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

- Domain expertise in the area of payments or other financial services

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

- Prior work experience in a product analytics space would be highly valued