[Hiring] Senior Data Analyst @Airalo

Role Description

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.

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.

Qualifications

• 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.

Requirements

• Location: Remote.
• Contract: Full-time, permanent.
• Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.

Benefits

• Learn more about our benefits here in this link - Benefits

Company Description

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.

We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.