Director of Product Analytics

About the role

The Director of Product Analytics leads Pipedrive's global product analytics function, transforming data into actionable insights that accelerate growth and optimize the performance of the website and product offerings. This role partners deeply with Product teams to understand customer behavior, pain points and optimisation opportunities, enabling prioritisation of the most impactful enhancements for customers, and driving the experimentation programme to measure and understand their impact.

What you'll 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, ensuring key metrics align product development with business growth and customer retention
• Build and maintain a unified behavioral analytics framework to map the customer journey—from first website interaction to product adoption and renewal
• Partner with Product, Engineering, and Marketing to inform roadmaps and connect acquisition channels with in-product behavior
• Own and scale the experimentation framework, promoting rigorous A/B testing and a strong culture of learning and iteration
• Turn complex behavioral data into clear insights, dashboards, and narratives that highlight user value and friction points for stakeholders
• Enable data-informed decision-making by expanding self-service analytics tools and supporting Product Managers with training and guidance
• Explore and implement AI-driven solutions to improve efficiency, enhance self-serve analytics, and support innovation

What you'll need

• 10+ years in analytics, including at least 5 years leading Product Analytics or Product Data Science functions in a SaaS or digital-first company
• Experience building, managing, and scaling analytics teams (ideally 10+ people) in a high-growth, global environment
• Strong understanding of user behavior analysis, retention, and product-led growth principles
• Advanced proficiency in SQL and data visualization tools (e.g., Tableau), along with experience in behavioral analytics and experimentation platforms (e.g., Amplitude, Optimizely)
• Experience designing and analyzing A/B and multivariate tests, with a solid understanding of statistical significance and experimental rigor
• Ability to translate complex data into clear insights and recommendations that influence senior stakeholders, including VP and executive levels
• Experience applying machine learning or predictive modeling to product use cases (e.g., churn prediction)
• Strong understanding of SaaS metrics (e.g., LTV/CAC) and how product engagement impacts business performance

What they offer

• Flexible hours and wellness perks
• Performance-based bonuses
• 28 paid leave days, well-being days, compassionate leave, and pawternal leave
• Mentorship, coaching, and internal mobility opportunities