BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering
3+ years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets
Expertise in statistics, especially as it relates to hypothesis testing and experiment design
Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data
Experience building predictive models and causal inference models
Experience analyzing large and complex data sets to drive business insights and decisions
Expertise in using tools like R and Python for data analysis
Proven success supporting or making business decisions based on your data analysis
Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences
Advanced experience with SQL
Experience with Bayesian modeling methods
Experience with Marketing Mix Models and Multi-Touch Attribution models
Experience analyzing two-sided marketplaces
Experience with B2C, marketplace products
Experience with BI tools like Tableau and Looker