Masters SQL (advanced). Python is a solid plus.
Advanced understanding of experimentation (in product setting) concepts + hands on experience. Ability to interpret AB test results, make reasonable hypothesis, deep dive as needed. Good understanding of experiment setup (power analysis, primary/secondary metrics, statistical significance etc.).
Good command of Tableau. Experience building complex, self-service dashboards as well as data pipelines.
Positive critical thinking/problem solving. ability to structure and simplify complex problems and leverage data to answer business questions or perform root-cause analysis.
Effective communicator and fluent English (written and spoken).
Requirements
Advanced SQL (Mastery level)
Strong Python proficiency
Hands-on experience with A/B testing and experimentation (power analysis, metrics, statistical significance)
Tableau expertise (building complex dashboards and data pipelines)
Robust analytical, critical thinking, and problem-solving skills
Benefits
Perks and advantages:
Market-competitive salary and performance-based bonuses.
Comprehensive insurance plans.
Team-oriented and supportive work environment
Chance to learn and grow with a talented team.
A positive and fun work environment.