Senior Analytics Engineer, Airalo

• We hope that you care deeply about the quality of your work, the intrinsic worth of tasks, and the success of your team
• You are self-disciplined and do not require micromanagement in terms of your skillset and work ethic
• You do your best to flourish as an individual every day while working hard to foster a collaborative team environment
• You believe in the importance of being — and staying — authentic, honest, positive, and kind
• You are a good interlocutor with clear and concise communication
• You are able to manage multiple projects, have an analytical mind, pay keen attention to detail, and love to get your hands dirty
• You are cognizant, tolerant, and welcoming of vulnerabilities and cultural differences
• Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or similar)
• 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities
• Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models
• Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation
• Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar)
• Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus
• Experience with self service analytics
• Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products
• Strong communication skills, with the ability to explain complex data concepts to diverse audiences
• Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production

Desirable

• We're looking for a Senior Analytics Engineer to join our growing Data team and help shape how data is modeled and governed at Airalo. You'll transform our first-party and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams-serving 20+ million users and growing
• Our analytics engineering function is still maturing, which means a real opportunity to establish standards, define our semantic layer, and influence how data is structured as we scale to serve 20+ million users globally. You'll work closely with the other data disciplines to build a production-grade analytics platform using LightDash as our BI layer and beyond
• Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic
• Own the semantic layer and metrics definitions for one or more of our core domains, ensuring consistency and high-quality data access across LightDash and other downstream tools
• Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting
• Implement robust testing, documentation, and monitoring practice-you'll be a steward of data quality and governance across the platform
• Collaborate closely with product, marketing, and commercial analysts to translate complex business questions into scalable, production-ready data artifacts
• Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build
• Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches