Analytics Engineering Manager

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Airalo

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

Telecommunications • Technology • Travel

Airalo is the world's first eSIM store that provides digital SIM cards (eSIMs) to travelers in over 200 countries and regions globally. The company offers an innovative solution to avoid high roaming charges by allowing users to purchase and activate eSIMs via its app, ensuring instant connectivity without the need for physical SIM cards. Airalo caters to various travelers by providing local, regional, and global eSIMs with transparent, prepaid pricing plans, supported by 24/7 customer service. The platform also supports partnership through APIs and offers incentives such as referral credits. Airalo represents a modern approach to global mobile connectivity, making it an essential tool for frequent travelers.

📋 Description

• Lead and grow a team of analytics engineers (currently 2, scaling to 4 this year), building a culture of craft, documentation, and user empathy • Drive the rollout and adoption of Lightdash as our single source of truth for business reporting, based on a unified KPI framework currently in progress • Own all dashboard development initially - from executive reporting to operational views, with support from analysts - then fully transition the ownership to analysts as self-service matures, building the templates and processes that enable this shift • 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: customer LTV, acquisition effectiveness, retention, funnel performance, and financial reporting • 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 • Partner with Data Engineering on pipeline reliability, data quality, and infrastructure decisions • Balance rigour with delivery speed-we're still building foundations while the business moves fast

🎯 Requirements

• 5+ years in analytics engineering, data engineering, or technical analytics roles, with 2+ years of people management experience-ideally building or scaling a team • You're a hands-on leader who partners with senior leadership on strategy and priorities while owning execution and day-to-day team decisions. • Deep proficiency in dbt-you've built and scaled dbt projects, not just contributed to them • 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-you're driven to build scalable data products that deliver real impact, and you prioritise ruthlessly to get there • Comfortable with ambiguity and greenfield data environments, with a passion for building team culture and raising the bar on data quality and usability

🏖️ Benefits

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