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Analytics Engineering Manager

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Airalo

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IT - Software Development

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Contract Type:
Employment contract

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Salary:

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Job Description:

We're looking for an Analytics Engineering Manager to lead our self-service analytics infrastructure and data modeling practice at Airalo. You'll own the foundations that make analytics possible at scale: the semantic layer, core data models, dashboards, and the self-service platform (Lightdash) that enables teams across the business to answer their own questions. This is a building role-you'll establish how we model data, how we govern metrics, and how we roll out self-service capabilities across a 20M+ user business operating in 190+ countries.

Job Responsibility:

  • Lead and grow a team of analytics engineers
  • Drive the rollout and adoption of Lightdash as our single source of truth for business reporting
  • Own all dashboard development initially
  • Partner with stakeholders to translate reporting needs into well-designed, maintainable data products
  • Design and deliver training and enablement programs for business users across all functions
  • Own and evolve our core dbt models and semantic layer to support key analytical use cases
  • Establish governance and standards: metric definitions, dashboard design patterns, modeling practices, testing frameworks, and documentation
  • Partner with analysts to translate their needs into scalable data assets, and with Data Engineering on pipeline reliability and data quality
  • Balance rigour with delivery speed

Requirements:

  • 5+ years in analytics engineering, data engineering, or technical analytics roles
  • 2+ years of people management experience-ideally building or scaling a team
  • Deep proficiency in dbt
  • Strong SQL and experience with at least one programming language (Python preferred)
  • Experience implementing or heavily using a semantic layer / metrics layer (Lightdash, Looker, MetricFlow, or similar)
  • Track record of driving self-service analytics adoption-training programs, documentation, stakeholder enablement
  • Familiarity with dimensional modeling, data warehouse design patterns, and data quality frameworks
  • Experience working closely with analysts and translating their needs into scalable data models
  • Strong business acumen
  • Comfortable with ambiguity and greenfield data environments, with a passion for building team culture and raising the bar on data quality and usability

Nice to have:

  • Experience in marketplace, B2C, or subscription/usage-based businesses
  • Previous work in low-maturity or greenfield data environments
  • Familiarity with our stack: dbt, BigQuery, Lightdash, Fivetran
  • Experience with marketing analytics use cases: attribution, LTV, cohort analysis
  • Previous experience at a scale-up that went through hypergrowth
What we offer:
  • Health Insurance
  • work-from-anywhere stipend
  • annual wellness & learning credits
  • annual all-expenses-paid company retreat in a gorgeous destination

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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