PipedriveDirector of Marketing 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.
The Director of Marketing Analytics will lead Pipedrive’s global marketing analytics function, responsible for turning data into actionable insights that accelerate growth and optimize marketing performance. This role sits at the intersection of data science, marketing strategy, and business impact, partnering closely with Marketing, Product, Finance, and Data teams to measure, model, predict and help optimize marketing ROI across channels and customer segments.
Your new adventure:
Leadership & Strategy
- Build and lead a high-performing marketing analytics team with expertise in data analysis, experimentation, and marketing science.
- Develop and execute the global marketing measurement strategy—defining KPIs, attribution models, and forecasting frameworks to guide decision-making.
- Partner with Marketing leadership to shape investment decisions, campaign optimization, and audience strategy.
Analytics & Insights
- Establish a unified marketing analytics framework across paid, owned, and earned channels to evaluate performance and ROI.
- Lead, and/or contribute to, advanced analytics initiatives and continuously improving analytical models and products such as multi-touch attribution, customer lifetime value modeling, churn prediction, and marketing mix modeling.
- Translate data into actionable insights through dashboards, storytelling, and strategic recommendations for senior executives.
Collaboration & Influence
- Collaborate with the Data and Engineering teams to ensure marketing data infrastructure supports scalable and reliable reporting, insights and actions
- Partner with FP&A and Finance to align marketing efficiency metrics with company-wide financial goals
- Work closely with Product and Lifecycle Marketing teams to improve acquisition, activation, and retention funnels through data-driven insights
Innovation & Enablement
- Drive experimentation frameworks (A/B testing, incrementality testing) to validate marketing hypotheses and investments
- Champion a culture of data literacy and experimentation across the marketing organisation
- Evaluate and implement new analytics tools, data models, and AI capabilities to advance predictive marketing and personalisation
Does this sound like you?
- 10+ years of experience in analytics, with at least 5 in marketing or growth analytics roles at a SaaS or digital company
- Proven success leading analytics teams in a high-growth, global environment
- Deep expertise in marketing measurement, attribution, and data storytelling
- Experience across marketing channels such as paid search, organic (SEO, AEO), brand, CRM, Affiliates, Social
- Strong command of SQL, data visualisation tools (e.g. Tableau, Looker or equivalent), and marketing analytics platforms
- Experience with statistical modelling, marketing mix modelling, and experimentation design
- Familiarity with modern data stacks (e.g. AWS, dbt, Snowflake, Databricks, Jupyter etc…) and marketing automation systems (e.g. Segment, Zapier etc.)
- Strategic thinker with the ability to influence senior stakeholders and communicate complex data clearly
- Strong business acumen and understanding of SaaS growth levers and unit economics
- Passionate about mentoring talent and building scalable, high-impact analytics functions
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.
#LI-Hybrid #LI-LR2
We’re looking for a Director of Marketing Analytics to build and lead a global analytics function that directly shapes marketing strategy and business outcomes.
If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.