Principal Marketing Analyst

TL;DR

Principal Marketing Analyst (SaaS): Lead the development of a high-impact analytics engine that transforms data into actionable insights to drive scalable growth with an accent on connecting marketing performance with core business outcomes. Focus on building statistical models for audience segmentation, designing experimentation frameworks including incrementality testing, and creating scalable data models using dbt and SQL.

Location: Hybrid in Tallinn, Estonia

Company

High-growth SaaS platform helping over 100,000 small and medium-sized businesses grow and succeed.

What you will do

• Support marketing channel leads in Paid Search, CRM, SEO through deep-dive analysis and performance recommendations
• Develop statistical models for audience segmentation and lifecycle strategy
• Design and execute experimentation frameworks, including incrementality testing, to validate hypotheses
• Build and maintain scalable data models using dbt and SQL for a reliable marketing data layer
• Translate data findings into strategic narratives and automated dashboards for self-serve marketing decisions
• Collaborate with Data Engineering and Marketing Technology on data stack roadmap and tracking integrity

Requirements

• 7+ years in a similar role
• Expertise in one core marketing domain: Acquisition (Paid Search, Social, SEO) or Retention (CRM, Lifecycle, Churn)
• Experience in marketing budget optimization: attribution modeling, MMM, incrementality testing
• Proficiency in building models like LTV, multi-touch attribution, predictive scoring
• Python or R for advanced statistical analysis; SQL and dbt for data modeling
• Tableau or similar for insightful data visualizations; experience in high-growth SaaS with unit economics (CAC, LTV, Payback)
• Ability to simplify complex concepts for non-technical stakeholders; mentoring junior analysts

Culture & Benefits

• People-first culture with collaboration, inclusivity, and top global talent
• Flexible hours, wellness perks, performance bonuses, 28 paid leave days, well-being days, compassionate and paternal leave
• Opportunities for mentorship, coaching, internal mobility, and experimenting with AI technologies
• Open feedback, trust, accountability, and customer-driven meaningful work