This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We're looking for a Senior Analytics Manager to join our growing Data team and help shape how analytics is done at Airalo. Our analytics function is still young, which means a real opportunity to build processes, establish standards, and influence how things evolve as we scale. You'll own the analytics roadmap and drive execution across product, marketing, and business analytics, partnering with the Director of Data on strategy while taking full ownership of delivery and day-to-day team leadership.
Job Responsibility:
Lead a growing team of product, marketing, and business analysts, owning the analytics roadmap and execution
Establish foundational processes, workflows, and standards as the team scales
Drive the rollout and adoption of self-service analytics (LightDash) across the organisation
Partner with Analytics Engineering to build and maintain production-quality reporting models, dashboards, and semantic layers
Deliver marketing measurement and optimisation: attribution analysis, incrementality testing, cohort LTV modeling, CAC/ROAS frameworks, and customer value segmentation
Build a cohesive analytics practice that connects insights across product, marketing, and commercial teams
Translate findings into clear, actionable recommendations and embed analytics capabilities within product, marketing, and commercial teams
Build a collaborative, high-performance team culture that balances rigour with speed
Requirements:
Bachelor's/Master’s degree in a quantitative field (statistics, economics, mathematics, computer science, or similar)
7+ years in analytics, data science, or related quantitative roles
3+ years of people management experience- ideally in scaling or building teams from the ground up
Experience in technology-driven environments-B2C, marketplace, or subscription businesses
Track record of delivering measurable business impact through analytics - retention, conversion, LTV, CAC, ROAS, pricing, funnel optimisation, financial forecasting
Marketing measurement experience: attribution, incrementality, media mix concepts, cohort analysis, and channel performance evaluation
Operational rigor-you've established metric governance, experiment tracking, and reproducible workflows
Proficiency in SQL and at least one analytical programming language (Python/R), with experience in modern BI tools and semantic layers
Familiarity with analytics engineering concepts (dbt, data modeling, metrics layers)
Comfortable with ambiguity and greenfield environments, with a passion for building team culture, developing talent, and raising the bar on analytical craft
Nice to have:
Experience in marketplace, telecom, or travel/mobility businesses
Familiarity with subscription or usage-based revenue models
Previous experience at a scale-up that went through hypergrowth
Experience building analytics capabilities in low-maturity data environments
Background in predictive LTV modeling
Familiarity with marketing mix modeling
What we offer:
Health Insurance
work-from-anywhere stipend
annual wellness & learning credits
annual all-expenses-paid company retreat in a gorgeous destination