Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Airalo's fully remote Data team is growing, and so is our ambition for how we measure marketing. You'll help Airalo decide where to invest the next dollar by owning how we measure marketing performance: attribution, the data models behind it, and incrementality testing that shows what really works, turning evidence into investment decisions across the globe.
You'll pair solid measurement expertise, including causal inference, with strong core analytics. You'll guide teams on what to measure and test, defend our framework with senior stakeholders, and make sure data changes decisions. This is a small, growing team and a capability that is new to the business: you'll build the process, not inherit it. Expect your time to be split between measurement work (attribution, data modelling and incrementality) and the day-to-day analytics Growth and Marketing rely on.
What You'll Do
- Support our marketing attribution models and methodology: review how conversions are credited across channels, reconcile platform-reported and first-party numbers, and keep the approach trusted and documented.
- Design and maintain the marketing data models behind measurement (spend, attribution, orders and customer cohorts) with Analytics Engineering, with clear definitions, tests and documentation.
- Support Growth and Marketing with ad-hoc and core analytics, such as campaign and market performance, self-serve dashboards and AI-assisted analytics.
- Design and run geo experiments from simulation-based power analysis and market selection to success criteria and read-out, working with the marketing performance team.
- Co-own a prioritised quarterly incrementality test roadmap across channels and markets, ranked by decision value, cost, feasibility (including properly powered tests) and learning, and track each test through to a decision.
- Handle spillover, seasonality and small-market noise, and report incremental CAC and incremental ROAS with honest uncertainty.
- Turn test results into investment guidance: estimate marginal returns and saturation by channel and market, and recommend where the next dollar should go and where to pull back.
- Help set and document our causal measurement standards: which method when, what counts as sufficient evidence, and how results calibrate attribution and MMM for budget allocation.
- Defend the framework under challenge from channel owners and leaders, and pressure-test platform claims.
- Guide Growth, Acquisition and Finance from business question to testable hypothesis to budget decision, and build literacy on attributed versus incremental performance.
- Build reusable experiment tooling and templates, work with Analytics Engineering and MarTech on the data experiments needed, and document every test and decision as you build this capability from scratch.
What You'll Bring
- 3+ years of experience in marketing measurement (attribution, incrementality or marketing mix modelling), with a track record of analysis that changed real budget decisions.
- Solid grounding in causal inference and experimental design: randomised and quasi-experimental methods such as synthetic control and difference-in-differences, simulation-based power analysis to size and design tests, and knowing when each approach breaks.
- Strong statistical judgement: you can quantify uncertainty, explain it simply, and resist overclaiming.
- Hands-on experience with marketing attribution models and their limits, including reconciling platform-reported results with first-party data.
- Familiarity with how experiments calibrate MMM and attribution, and with marginal-return and budget-optimisation thinking (saturation, diminishing returns).
- Expert SQL and Python, production-quality code, a modern warehouse (BigQuery or Snowflake) and a BI tool such as Lightdash or Looker.
- Strong data modelling skills: designing clean, tested and documented models (dbt or similar) for marketing spend, attribution and customer data, and working closely with Analytics Engineering.
- Strong core analytics skills: marketing and customer metrics (CAC, LTV, retention, funnel and cohort analysis), dashboards and self-serve BI, and the judgement to prioritise ad-hoc requests alongside the test roadmap.
- Proven ability to influence senior stakeholders: you hold a position under challenge, have shaped a roadmap, and say no with a clear rationale.
- Comfortable with ambiguity and with data that is still improving: you're a proactive self-starter who is happy to create a new process or capability in a small, fast-growing team.
If you are interested in this position, please apply via the link.
Why People Join Us
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world.
Before You Hit Apply
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.
