Airalo

Senior Analytics Engineer

Job Description

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.


What You'll Do
  • 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

  • Must Have
  • 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

  • Nice to Have
  • Experience in marketplace, telecom, or travel/mobility businesses
  • Background in B2C product companies with high-volume event data
  • Experience building analytics engineering capabilities in low-maturity data environments
  • Previous experience at a scale-up that went through hypergrowth
  • Experience defining and governing company-wide KPIs and metric frameworks