Job Description
Your way to impact
- You believe in data-driven decisions and use data to answer business questions
- You are hyper-analytical, intellectually honest, and passionate about data and 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 curious and inquisitive: you love digging into data and uncovering insights
- You are motivated by improving the experience customers have with the products you work on
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
- Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees preferred
- 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 interpersonal and project management skills, ability to lead cross-functionally
- Experience with visualization tools such as Tableau preferred
- Prior work experience in a product analytics space would be highly-valued