Head of Customer Analytics

We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.

Develop and execute the global customer data strategy, defining how the organization collects, interprets, and acts on behavioral data to drive revenue

Architect and oversee the maintenance of a robust customer data layer using dbt, ensuring data integrity, accessibility, and a unified view of the customer across all platforms

Build predictive models and algorithms (e.g., Churn prediction, LTV forecasting, Propensity to Buy) to automate insights and trigger proactive business interventions

Partner with the COO organization (Sales, Success, and Support) to identify friction in the customer lifecycle and provide data-backed recommendations for process optimization

Establish and enforce data governance best practices, ensuring all customer intelligence initiatives comply with global privacy regulations (GDPR, CCPA)

Translate complex behavioral datasets into strategic narratives for senior leadership, influencing high-level decisions on resource allocation and customer strategy

Design experimentation frameworks to validate the impact of new customer success playbooks, sales strategies, or support interventions

Lead a high-performing team of analysts and data scientists, fostering a culture of technical excellence, continuous learning, and business impact

At least ten years of experience in data analytics or data science

Fluency in English

Experience with SQL, dbt (data build tool) and modern data warehouses

Proven experience in building predictive models such as churn and lifetime value

Proficiency with data analysis and statistical modeling techniques

Confidence with working across large datasets and complex customer journeys

The capability to lead and develop a team of analysts

An understanding of software as a service (SaaS) customer lifecycle and metrics

Talent for translating data into clear insights and business actions

Skills in stakeholder communication and influencing decision-making

Strength in data governance and privacy frameworks such as GDPR and CCPA

The ability to manage multiple priorities across teams

Passion for using data to improve customer experience and drive growth

Familiarity with Python or R is a plus

Experience managing distributed teams is a plus

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, stocks, 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