Airalo2mo ago

Analytics Engineering Manager

SpainRemoteFull-Timemid

Data ScienceOtherManagementAnalytics Engineering Manager

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Quick Summary

Overview

About Airalo Alo! Airalo is the world’s first eSIM store that helps people connect in over 200+ countries and regions across the globe.

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Data ScienceOtherManagementAnalytics Engineering Manager

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: https://airalo-public.notion.site/airalo-public-handbook

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 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.

You'll report to the Director of Data and partner closely with analytics teams and stakeholders across the business, translating their analytical needs into scalable, production-quality data models. Success looks like business users confidently answering their own questions, a governed semantic layer that analytics teams trust, and a self-service platform that replaces our patchwork of legacy reporting tools and robust data models that scale without use cases.

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

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

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