Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; www.notion.so/airalo-public/Benefits-25396a97ffca81fb9bc1f0be479f1be3 Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. 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. What You'll Do:

Build and own package-level unit economics data models that surface margin contribution, breakage rates, cost dynamics, and profitability across markets, corridors, and packages

Develop the analytical scaffolding for structured pricing reviews: margin waterfalls, competitive positioning dashboards, demand signal reporting, and conversion sensitivity analysis

Integrate competitive pricing data (scraped and third-party) into structured, queryable models that power automated benchmarking and price distance analysis across priority markets

Build and codify the data inputs that power our pricing decision framework—elasticity indicators, corridor-level competitive intensity, segment performance—enabling structured trade-offs between growth, margin protection, and competitive response

Own the semantic layer and metrics definitions for pricing and commercial domains, ensuring consistency and trust across Lightdash, downstream tools, and self-service analytics

Write Python-based tooling that goes beyond transformation: simulation models, scenario analyses, pricing rule engines, and automated competitive monitoring scripts

Design measurement-ready datasets that support A/B testing, controlled pricing pilots, and experimentation infrastructure as we build our capabilities for predictive pricing

Collaborate with data engineers to scale ELT workflows and improve CDR digestion pipelines, ensuring freshness, reliability, and full coverage for pricing-critical reporting

Partner with the Commercial Pricing Lead, Networks, Finance, and Growth to translate pricing strategy into data products, and ensure cross-functional stakeholders can independently explore and act on the models you build

Implement robust testing, documentation, and monitoring—you’re the steward of data quality in a domain where bad data means bad pricing decisions at scale

Must Have:

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

Minimum 2–3 years of direct experience working with pricing—whether in pricing analytics, commercial pricing, revenue optimization, or building pricing data infrastructure in telecom, SaaS, fintech, or marketplace environments

Proficient in Python for data transformation, analytical tooling, and automation (not just notebooks—you can build production-quality scripts and pipelines)

Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models—ideally in domains involving transactional data, cost structures, or commercial metrics

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 and empowering non-technical stakeholders to explore data independently

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

If you are interested in this position, please apply via the link.

Please note that to be considered for this role, you must reside in and be fully eligible to work in Spain, or the UK. Proof of a valid right to work in one of these three countries will be required.

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: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy

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.

Senior Analytics Engineer, Pricing

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