Director of Product Analytics

TL;DR

Director of Product Analytics (SaaS): Transforming data into actionable insights to accelerate growth and optimize website and product performance with an accent on behavioral analysis, experimentation, and product data science. Focus on building unified analytics frameworks, scaling A/B testing programs, and enabling data-informed decision-making through self-service tools and AI-driven solutions.

Hybrid in London, UK. No relocation assistance or visa sponsorship.

Company

SaaS CRM platform helping over 100,000 small and medium-sized businesses grow through customer-driven product enhancements.

What you will do

• Lead and grow a high-performing Product Analytics team focused on behavioral analysis, experimentation, and product data science.
• Define and evolve a global product measurement strategy aligning key metrics with business growth and customer retention.
• Build and maintain a unified behavioral analytics framework mapping the full customer journey from website interaction to product renewal.
• Partner with Product, Engineering, and Marketing to inform roadmaps and connect acquisition with in-product behavior.
• Own and scale the experimentation framework with rigorous A/B testing and a culture of learning and iteration.
• Turn complex data into insights, dashboards, and narratives for stakeholders, while expanding self-service analytics tools.

Requirements

• 10+ years in analytics, including 5+ years leading Product Analytics or Product Data Science in SaaS/digital-first company.
• Experience building, managing, and scaling analytics teams (ideally 10+ people) in high-growth global environments.
• Strong understanding of user behavior analysis, retention, and product-led growth principles.
• Advanced SQL proficiency, data visualization (e.g., Tableau), behavioral analytics and experimentation platforms (e.g., Amplitude, Optimizely).
• Experience designing/analyzing A/B and multivariate tests with statistical rigor.
• Ability to translate data into insights influencing VPs and executives; experience with ML/predictive modeling (e.g., churn prediction).
• Strong grasp of SaaS metrics (e.g., LTV/CAC) and product engagement impact.

Culture & Benefits

• People-first culture emphasizing authenticity, collaboration, inclusivity, and diverse perspectives.
• Flexible hours, wellness perks, performance bonuses, 28 paid leave days, well-being days, compassionate and pawternal leave.
• Opportunities for mentorship, coaching, internal mobility, and experimenting with AI technologies.
• Open feedback, trust-based growth, and accountability in a global team environment.