Senior Analytics Manager - Product & Business Analytics (Mandarin Required)

About the role

A rapidly scaling consumer internet platform, connecting hundreds of millions of users daily across content, community, discovery and commerce, is hiring a Senior Analytics Manager for its Singapore team. The role sits at the intersection of data analytics, product analytics, decision science and business strategy, working closely with Product and Business teams on community, commercialization and e-commerce. It is a highly business-facing position with 5 days onsite, and fluent Mandarin and English are mandatory.

Key responsibilities

• Lead complex data analysis to support product, commercial and strategic decisions
• Analyse user behaviour, product performance and business trends to find growth opportunities and diagnose problems
• Establish measurement, quantification and attribution frameworks to measure the true impact of initiatives
• Translate analytical findings into clear, actionable recommendations for Product and Business stakeholders
• Build and evolve business data systems, metrics and analytical frameworks, developing scalable capabilities
• Combine internal platform data with industry data and market trends to generate strategic insights
• Partner with Product, Business and other stakeholders to influence short-term execution and long-term direction
• Use modern AI tools to build and improve end-to-end analytical workflows

Required profile

• 7-14 years of experience in data analytics, product analytics, data science, business analytics, decision science or a closely related quantitative discipline
• Bachelor's degree or above in Computer Science, Statistics, Mathematics, Economics or another quantitative discipline
• Strong experience in consumer internet, technology or other data-intensive product environments
• Fluent Mandarin and English, able to discuss complex analytical topics in Mandarin with stakeholders in China

Required skills

• Quantitative, statistical and analytical foundations
• Measurement, attribution and impact analysis
• Building metrics, analytical frameworks and reusable data capabilities
• Stakeholder management and clear communication to technical and non-technical audiences
• Experience using modern AI tools to improve analytical productivity

The role is not primarily an ML engineering or model-development position, nor a traditional reporting or dashboarding role. Only shortlisted candidates will be contacted.