Senior Analytics Engineer Job at Airalo

Senior Analytics Engineer

Airalo

Location:

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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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.

Job Responsibility:

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

Requirements:

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

What we offer:

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

Additional Information:

Job Posted:
January 10, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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