Senior Product Analyst

About the Role

As a Senior Product Analyst, you will shape product decisions through data, customer insight, and structured experimentation. You will define and monitor product performance, identify opportunities across the user journey, and translate complex data into clear recommendations that inform product strategy, roadmap prioritization, feature design, and launch decisions.

What You’ll Do

· Define Measurement Frameworks: Establish and maintain comprehensive product measurement frameworks with clear KPI definitions across acquisition, activation, engagement, conversion, retention, transactions, and feature adoption.

· Partner with Product Leadership: Collaborate closely with product managers to define success metrics and analytical requirements for roadmap initiatives, new features, and product enhancements.

· Analyze User Journeys: Evaluate user journeys, funnels, cohorts, feature usage, and customer segments to identify friction points, behavioral patterns, and growth opportunities.

· Support the Product Lifecycle: Deliver analytical support across product discovery, prioritization, launch readiness, and post-launch evaluation to strengthen decision-making at every stage.

· Build Dashboards & Self-Service Tools: Develop and maintain dashboards, alerts, and self-service reporting tools that offer product teams and leadership a unified view of performance.

· Drive A/B Testing & Experimentation: Design and evaluate A/B tests and structured experiments, quantify feature impact, interpret complex results, and recommend actionable next steps.

· Develop Predictive & Analytical Models: Build analytical models—such as customer lifetime value, churn propensity, conversion pathways, segmentation, and usage forecasting—using SQL and Excel/Power BI.

· Influence Strategy & Governance: Present concise, actionable insights to guide product strategy while maintaining strict metric governance, documentation, and data-quality standards.

What You’ll Bring

· Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field (a Master's degree is an advantage).

· Professional Experience: 5+ years of experience in product analytics, decision science, growth analytics, or digital product data analysis.

· Technical Proficiency: Strong SQL skills, proficiency in Excel and Power BI (or equivalent tools), and experience with product analytics platforms such as Mixpanel, Amplitude, or GA4.

· Domain Knowledge: Solid understanding of the product development lifecycle, roadmap prioritization, feature measurement, experimentation, funnels, cohorts, and retention strategies.

· Problem-Solving Mindset: Demonstrated ability to translate ambiguous product questions into structured analysis, clear conclusions, and practical recommendations.

· Communication: Self-driven and detail-oriented with strong English and Mandarin communication skills.

Nice to Have

· Advanced Analytics Tools: Proficiency in Python or R for advanced analysis, workflow automation, or light predictive modeling.

· Industry Experience: Background in gaming, fintech, digital entertainment, subscription services, marketplaces, or other consumer applications.

· Behavioral Data Expertise: Hands-on experience with event-based product data, experimentation platforms, or behavioral analytics.

· Complex Digital Ecosystems: Exposure to multi-region, high-growth, regulated, or transaction-intensive digital products.