Data Analyst

1. Design and build data metrics, automate reporting, and monitor core business metrics in real time. 2. Conduct in-depth analysis on metrics and product performance, propose actionable insights, and drive execution. 3. Build user profiles and lifecycle models based on behavior data (e.g., transactions, usage paths). 4. Design data tracking and A/B tests to evaluate product iterations and campaigns. 5. Collaborate with teams to identify bottlenecks and optimize strategies (e.g., channel efficiency, retention).

1. Curious, logical, and empathetic, with a first-principles approach. 2. Bachelor’s degree or above, preferably in math, statistics, computer science, or finance. Prior data analysis experience is required. 3. Proficient in SQL, Excel, Python/R for data cleaning, modeling, and automation. 4. Strong cross-team communication skills, able to simplify complex findings. 5. Familiarity with financial investment, user growth, or monetization projects is a plus.