数据分析负责人

This is a fully remote position, open to applicants in China, +2 more countries.

📋 Description

• Oversee key performance indicators: activation rate, D1/D7/D30 retention rates, weekly active users (WAU), cohort behaviors, CPA across various channels and markets, as well as leading indicators for transaction and subscription conversions.

• Transform raw product, billing, and interaction data into clear, insightful business recommendations, diagnosing the key factors driving retention, onboarding steps for new users, and the behaviors and ROI of experts and niche market users.

• Establish measurement layers, success metrics, and quantitative impact analyses for significant launches such as the 3D World of Minds interface, native app, and account-level subscriptions.

• Collaborate with GTM and product managers in verticals to assess market opportunity sizes, set objectives, and execute experiments with a learning feedback loop.

• Create daily and weekly reports relied upon by management, while also developing lightweight self-service reporting tools.

• Translate analyses into actionable recommendations for product, growth, management, and the board, providing both written and verbal presentations.

• Apply AI within the data analysis stack for querying, summarizing, prototyping, and automating repetitive tasks to enhance analytical efficiency.

⛳️ Requirements

• A data analyst with deep business acumen: accustomed to thinking from the perspectives of unit economics, payback periods, cohort analysis, and user lifetime value (LTV), capable of making decisive recommendations rather than merely presenting charts.

• Proficient in SQL and skilled in product/behavioral analysis tools; well-versed in modern data stacks, with expertise in at least one scripting language for in-depth analysis (Python or similar).

• Proven experience in leading retention, growth, or monetization analysis in consumer products (ideally mobile, gaming, subscription, or high-frequency consumer categories), with your contributions having significantly influenced business decisions.

• An AI-native working style: experienced in using AI tools to accelerate analysis and possessing a clear understanding of where model outputs are credible and where they are not.

• Possess sharp insight to recognize which questions are worth answering; maintain a rigorous, realistic attitude to reveal data honestly, even when the findings are unwelcome.

• Exceptional communication skills: able to distill complex analyses into a single, clear recommendation; capable of making non-technical audiences truly understand; summaries should be digestible by executives in two minutes; able to robustly defend your position with data when questioned.

• Bonus: Familiarity with gamification metrics (DAU/WAU/MAU, game progression, task/level completion) and A/B testing/experimental frameworks.

• Bonus: Knowledge of subscription and payment data (e.g., Stripe) and the economics of transaction fees.

• Bonus: Experience in agentic AI, consumer-grade AI, or creator economy products.

🏝️ Benefits

• Remote work arrangement