About Smallpdf
Smallpdf provides digital document solutions that help individuals and businesses work with documents, including compressing, converting, editing, and e-signing files. Its platform makes complex document workflows simple, secure, and accessible.
Responsibilities
•Drive business-critical investigations across the user journey, from acquisition and activation to conversion, monetization, and retention; identify opportunities and turn findings into actionable recommendations
•Analyze marketing channel performance, attribution, and incrementality across SEO, paid search, CRM, and emerging channels
•Partner with Product and Growth teams on A/B testing, experiment design, and statistical evaluation; apply causal inference and quasi-experimental methods when traditional experimentation is not possible
•Develop, test, document, and maintain production-ready data models; take ownership of the data foundations behind analyses
•Explain performance drivers, challenge assumptions, and recommend actions that improve business outcomes
•Investigate unexpected changes in traffic, conversion, and customer behavior; develop analytical frameworks, predictive models, and data products
•Work with Product Managers, Growth specialists, engineers, and leadership to turn ambiguous business challenges into structured analytical approaches and measurable outcomes
Requirements
•Strong experience in applied Data Science or advanced analytics, ideally in a SaaS, product-led growth, digital product, or marketing-driven business, with a track record of influencing business decisions
•Advanced SQL and data modeling skills, including designing, building, testing, and maintaining reliable data models
•Strong Python skills for statistical analyses, predictive models, and practical data products
•Solid foundations in statistics, experimentation, and causal inference, including designing and evaluating A/B tests
•Experience in Growth or Marketing Analytics and understanding of acquisition channels, conversion funnels, attribution, incrementality, and customer behavior
•Strong product and commercial thinking; ability to connect metrics to business outcomes and identify valuable questions to investigate
•Ability to own the analytical lifecycle, from raw data and modeling to interpretation, communication, and recommendations
•Excellent communication skills and ability to present complex analyses as clear narratives and actionable recommendations for technical and non-technical stakeholders
•Curiosity, initiative, and a proactive mindset; willingness to challenge assumptions and explore beyond the initial request
Nice to have
•Experience in a subscription-based or product-led growth business, particularly with conversion, pricing, retention, or customer lifetime value
•Hands-on experience with marketing incrementality, attribution modeling, Marketing Mix Modeling (MMM), or quasi-experimental techniques
•Experience building analytical frameworks or data products adopted by business teams
•Experience independently owning analytical work and underlying data models in a small data team
•Ability to influence Product, Growth, or Marketing strategy through rigorous analysis and clear recommendations
•dbt or similar tools
•SEO or paid search analytics
Conditions
•30 vacation days
•Sabbatical leave for employees with more than 2 years of service
•16 weeks of parental leave at 100% of salary for all new parents
•Personal development budget of up to 2000 CHF per year, plus days off for courses or training
•Internal knowledge sharing and external coaching options during working hours
•Hack days
•No visa sponsorship is available for this position
•Full-time position
