- Masters SQL (advanced). Python is a strong 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.
- Good 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)
- Strong analytical, critical thinking, and problem-solving skills
Benefits
Perks and benefits:
- Competitive salary and performance-based bonuses.