Head of Customer Analytics
Team: Analytics
Location: Portugal, Lisbon
Commitment: Full Time
Workplace Type: hybrid
We’re looking for a head of customer analytics to lead customer intelligence initiatives and build predictive frameworks in our Lisbon office. In this role, you'll get a chance to work with our awesome analytics team and cross-functional leaders on optimizing the end-to-end customer journey.
If you’re someone who enjoys turning complex data into clear actions and leading teams to deliver measurable business impact, we’d love to meet you!
Your new adventure:
- 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
Does this sound like you?
- 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
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, 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
We’re on the lookout for a head of customer analytics to transform customer data into a competitive advantage and drive growth across sales, support and success in our customer analytics team.
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