Principal, Product Analytics

📋 Description

• Go looking for what nobody asked about - notice when something looks off in a funnel, a cohort or a
• Lead deep investigations into user behaviour and customer experience across product and non-product
• Find where activation breaks - identify failure points in the user journey, including those that
• Understand acquisition and intent - dig into acquisition channels, user use cases and what people
• Do rigorous causal and statistical work - go beyond correlation with regression, causal analysis
• Build models that drive action - apply data science to real business problems, such as churn

🎯 Requirements

• Deep product analytics experience across growth and broader product areas, with a record of
• Data science and modelling experience, and the ability to explain how you applied it and what
• Strong grounding in correlation, regression and causal analysis
• A proactive approach - you surface insights and shape the agenda rather than working to a brief
• Genuine curiosity - you notice what looks off and dig until you understand why
• Clear communication with management and executives about business impact, simplifying complex

🎁 Benefits

• Do the hardest, most interesting analytical work in the company, with direct line of sight to
• Work across structured and unstructured data, customer conversations and AI evaluation, at the
• Independence and impact at principal level, without the management overhead