Responsibilities

• Own data analysis and metrics framework for user growth, tracking core indicators such as registration, activation, retention, and conversion.

• Design and evaluate A/B experiments to quantify the impact of strategies, pages, or channels on conversion rates.

• Analyze user behavior and conversion funnels, identify drop-off points, and propose optimization strategies.

• Evaluate ROI across acquisition channels (Affiliates, KOLs, paid advertising, etc.) to support growth strategy decisions.

• Produce data insights and analytical reports to support product and marketing decision-making.

Requirements

• Bachelor’s degree or above; background in Mathematics, Statistics, Computer Science, or related fields preferred.

• Proficiency in data analysis tools such as SQL, Excel, or Python (pandas / numpy).

• Solid understanding of the AARRR growth model and A/B testing methodologies, with a foundation in statistical analysis.

• Prior experience in growth analytics for internet products or trading platforms is a plus.

• Strong data sensitivity, logical thinking, and business insight, with the ability to independently identify problems and propose improvement directions.

Nice to Have

• Experience with tools such as Amplitude, Mixpanel, GA4, or Looker.

• Familiarity with user lifecycle analysis, attribution models, and channel ROI evaluation.

• Hands-on experience leading or participating in real growth experiments with measurable outcomes.