Senior Product Data Analyst

This is a fully remote position, open to applicants in Hong Kong, +1 more state.

📋 Description

• Engage in all dimensions of product data, encompassing data engineering, dashboard creation, experiment frameworks, and predictive modeling to enhance user growth and inform product strategy.

• Analyze and interpret user behavioral, transactional, and operational data at PB-scale utilizing both proprietary and open-source tools and platforms.

• Design and assess A/B experiments comprehensively, from hypothesis development and experiment design to statistical analysis, significance testing, uplift calculations, and providing actionable recommendations.

• Establish and uphold the core product metrics hierarchy, set OKR targets, and assess performance outcomes.

• Convert intricate findings into clear visualizations and actionable insights for product, operations, and executive teams.

• Collaborate with Product Managers, Engineers, and Business stakeholders to facilitate data-driven product decisions.

• Oversee complete analytics for product strategy, influencing user conversion, engagement, and business growth.

• Thrive in a fast-paced organization where timely market delivery is essential.

⛳️ Requirements

• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or Data Science.

• Minimum of 3 years of full-time experience in a Product Analytics or Data Science position.

• Extensive experience in product strategy analysis, particularly focusing on user growth, conversion optimization, or recommendation systems.

• A strong curiosity to identify, explore, and explain trends and patterns within data.

• Capability to simplify complex concepts and technical insights into clear, understandable language.

• Previous experience with A/B testing platforms and statistical experiment design is preferred.

• Enthusiasm for emerging technologies related to blockchain, machine learning, and AI.

• Bilingual proficiency in Chinese and English, both written and spoken.

• Proficiency in at least two of the following: SQL with experience in large-scale data warehousing, data visualization tools, programming for data analysis and automation, and workflow orchestration tools.

• Experience in the crypto/fintech sector or with high-growth consumer products is a plus.

• Familiarity with analytics for personalization/recommendation systems is advantageous.

• Knowledge of event tracking systems is a bonus.

• Experience in developing metrics dictionaries or data governance frameworks is desirable.

• Background in mentoring junior analysts is a plus.

🏝️ Benefits

• Competitive salary along with company benefits.

• Flexible work-from-home arrangement (which may vary based on the team's business needs).

• Opportunities for career advancement and ongoing learning.

• Freedom to innovate in a stimulating environment.

• Work alongside world-class talent in a user-focused global organization with a flat organizational structure.