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.