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.

Compétences requises

SQL (advanced/mastery)Python programmingA/B testing and experimentation designStatistical analysis (power analysis, significance, metrics)Experiment result interpretation and hypothesis generationTableau (complex dashboards)Self-service dashboard developmentBuilding data pipelinesCritical thinking and problem solvingRoot-cause analysisEffective communication and presenting data insights (fluent English)

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