Lead Data Analyst, Growth & Experimentation

Requisitos

• Significant experience in data analytics, experimentation, or growth analytics, with a strong background designing and evaluating control..
• Advanced statistical knowledge: hypothesis testing, statistical power, sample-size calculations, significance, novelty and interaction ef..
• Understanding of anytime-valid statistics or sequential testing methodologies and rigorous monitoring of live experiments
• Expert-level SQL and practical Python proficiency for automating statistical calculations, analytics workflows, and experiment reporting
• Experience with dbt and Lightdash, including building analytical models and self-service metrics