Core Responsibilities

The role involves driving growth strategy through scientific decision-making, including designing and analyzing complex A/B tests with high statistical standards, and diagnosing root causes of metric fluctuations. The analyst will also model economic impacts like elasticity and LTV to optimize user retention and unit economics.

Requirements

Candidates need a Bachelor’s degree in a quantitative field and 3+ years of experience in Product Analytics, Data Science, or Growth, specifically with A/B Testing and causal inference. Technical requirements include expert SQL skills, proficiency in Python for large-scale data processing, and strong business acumen regarding financial metrics.

Additional Information

Experience Level

2-5

Job Language

English

Work Mode

On-site