Senior Data Analyst, Product and Business

📋 Description Partner with product teams to define success metrics, design experiments, and evaluate feature Design and analyse experiments with statistical rigour, and help teams adopt best practices. Collaborate with engineering to identify metrics and data needs for product data quality. Guide product-level KPIs within a tiered framework, linking metrics to business outcomes. Conduct deep-dive analyses across product and business performance (funnel, retention, cohorts). Size opportunities and build business cases, linking metric movements to revenue impact. 🎯 Requirements 4+ years in product or commercial analytics, data science, or quantitative analytics with senior Deep product analytics experience in B2C/ marketplace environments; understand funnels, retention Strong ability to connect product, operational, and commercial data semantics analytically. Proven experimentation expertise: A/B testing, best practices, decision frameworks, common failure Instrumentation and governance: data tracking, event taxonomy, high-quality data. Track record delivering metrics frameworks with cross-functional alignment; connect analytics to 🎁 Benefits Remote work with global team; benefits vary by location; see benefits link. English is the main working language.