Analyze product data using advanced SQL, Python, Tableau, and experimentation methods. Interpret A/B test results, conduct power analysis, define and evaluate metrics, build complex self-service dashboards and data pipelines, investigate root causes, solve business problems, and communicate insights clearly in English.
- 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.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
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