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Director of Product Analytics
- London, England, United Kingdom
- London, England, United Kingdom
About
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
Does this sound like you?
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
Why Pipedrive:
People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change We’ve got you – Your well-being matters. Enjoy flexible hours, wellness perks, and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability Packed with purpose – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work
Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status. Please note that for this role we’re currently unable to offer relocation assistance or visa sponsorship. #J-18808-Ljbffr
Languages
- English
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