Senior Data Analyst (E-commerce)

About the Role

RENPHO is a global direct-to-consumer health and wellness device brand with e-commerce operations across the US, UK, EU, Canada, Australia, and Hong Kong. As we continue to scale, data is central to how we shape product strategy, optimize marketing performance, and build better experiences for our customers.

We are looking for a Senior Data Analyst based in Hong Kong to partner closely with our Marketing and Operations teams to drive insights, experimentation, and data-informed decision-making across the business.

Key Responsibilities:

Insights & Product Direction

• Define and own KPIs that measure customer engagement and e-commerce performance across regional storefronts
• Analyze customer behavior, product usage patterns, and sales/marketing funnel dynamics to identify growth opportunities and inform priorities

Experimentation & Measurement

• Design, implement, and evaluate A/B tests and feature/campaign rollouts in partnership with product and marketing stakeholders
• Develop frameworks for causal inference, incrementality measurement, and long-term impact evaluation

Data Products & Tools

• Build dashboards, data pipelines, and self-serve reporting tools using our modern data stack to empower teams across the company
• Leverage AI coding and analysis tools (e.g., Claude Code, OpenAI Codex, Cursor) to accelerate data exploration, pipeline development, and reporting workflows

Cross-Functional Collaboration

• Champion data-driven decision-making and foster a culture of measurement across the organization
• Communicate insights clearly to both technical and non-technical audiences, including regional and headquarters stakeholders

Requirements:

• Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, or a related quantitative discipline
• 3+ years of experience in Data Science, Decision Science, or Analytics, preferably in e-commerce, consumer products, or a product-focused organization
• Proficiency in Python or R for analysis, modeling, and experimentation
• Strong data visualization skills; familiarity with BI tools (e.g., Looker, Power BI, Tableau) for building interactive dashboards
• Hands-on experience using AI-assisted development and analysis tools (e.g., Claude Code, OpenAI Codex, GitHub Copilot, Cursor) in day-to-day analytics work; experience applying LLMs to data problems (text classification, sentiment analysis, automated reporting) a strong advantage
• Excellent communication skills; able to present complex ideas clearly to diverse stakeholders
• Good command of written and spoken English; Cantonese and/or Mandarin an advantage for cross-regional collaboration
• Candidates with more experience may be considered for a senior title