Senior Analytics Engineer

About Airalo

Alo Airalo is the world's first eSIM store that helps people connect in over 200+ countries and regions across the globe. We are building the next digital service that revolutionizes the telecom industry. We are a travel-tech company and an equal-opportunity environment that values and executes diversity, inclusion, and equity. Our team is spread across 50+ countries and six continents. What glues us together is our commitment to changing the way you connect.

Check out more information about Airalo in our Public Handbook here.

About you

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.

About the Role

Position: Full-time / Employee

Location: Remote-first

Benefits: Health Insurance, work-from-anywhere stipend, annual wellness & learning credits, annual all-expenses-paid company retreat in a gorgeous destination & other benefits

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

• 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

• 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

By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here.

We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.