PayPal is looking to solve the problem of providing data-driven insights to support experiments, new feature launches, and strategic initiatives for its Venmo Analytics team.
Requirements
- Strong expertise in A/B testing, experimental design and analyzing controlled experiments (e.g. feature rollouts, multivariate testing)
- Strong foundation in causal inference techniques
- Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud)
- Experience analyzing very large, complex, multi-dimensional data sets
- Experience with one or both – Python and R is a plus
- Experience in Machine learning techniques (models for classification, regression, clustering etc) is a plus
Responsibilities
- Perform technical deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations
- Make data visually appealing and simple to both navigate and comprehend for end-users
- Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision-making
- Engage in problem solving with Risk, Product, Marketing, and various other teams to determine performance trends and root causes.
- Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
Other
- Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience
- 4+ years professional experience in an analytical role
- Work experience in the payments, ecommerce, or financial services industry is a plus
- Must be able to work in a hybrid work model with 3 days in the office and 2 days at home
- Must be able to participate in a diverse and inclusive work environment
