What you need to know about the role
Your way to impact
- 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
Your day to day
- Help to launch, measure, and scale new solutions to improve customers’ experiences with the PayPal App and website
- Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data
- Translate ambiguous, unstructured business problems into actionable and data-driven analyses
- Size potential impact of new ideas to help prioritize product roadmaps
- Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports
- Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
- Define and cultivate best practices in analytics instrumentation and experimentation
- Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring
- Data-driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
- At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Experience influencing product strategy through analyses and data-centric presentations
- Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
- Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex, and potentially messy datasets
- Strong written and verbal communication skills to influence stakeholders
- Experience with visualization tools such as Tableau preferred
- Prior work experience in a product analytics space would be highly-valued
Our Benefits:
Any general requests for consideration of your skills, please