At a Glance
- Tasks: Lead marketing analytics to drive impactful decisions and enhance data culture.
- Company: Join Airalo, the world's first eSIM store, revolutionising travel connectivity.
- Benefits: Enjoy remote work, generous PTO, wellness allowances, and an annual retreat.
- Other info: Be part of a diverse team committed to growth and inclusion.
- Why this job: Make a real impact in a fast-paced, innovative environment with cutting-edge analytics.
- Qualifications: Experience in marketing analytics, strong SQL and Python skills, and a passion for data.
The predicted salary is between 60000 - 80000 £ per year.
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. 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.
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. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact.
We're looking for a Principal Data Analyst, Marketing Analytics to own and execute our marketing measurement strategy - from Marketing Mix Modeling and incrementality testing through to attribution, channel economics, and budget allocation. But measurement only matters if it changes decisions - so you'll also drive adoption of your work across the Growth organisation, build measurement literacy with stakeholders, and elevate the data culture that turns analysis into action.
- Manage and evolve Airalo’s growth MMM portfolio - driving the existing market model from validation into a production-grade decision tool, and scaling to additional markets as growth ambition and data readiness allow.
- Evolve our attribution methodology: determine the right models and attribution windows for our purchase cycle, specify the data requirements, and measure the impact of tracking remediation on attribution accuracy.
- Build measurement literacy within the Growth and Acquisition teams: train stakeholders to interpret the LTV/CAC related metrics, understand the difference between attributed and incremental performance, and use self-service reporting with confidence.
- Build and maintain the performance marketing reporting framework - with Analytics Engineering to ensure the underlying models serve both reporting and measurement needs.
- Act as analytics partner to the Growth and Acquisition teams: translate business questions into measurement plans, deliver the analytics that inform spend decisions, and build self-service reporting that reduces ad-hoc dependency.
- Drive adoption of measurement outputs - ensure MMM scenarios, incrementality results, and attribution insights translate into concrete budget allocation changes.
- Build institutional knowledge: document every experiment result, every MMM refresh, and every signal quality trend so that each quarter’s decisions are better informed than the last.
- Collaborate with the Senior CDP Engineer and MarTech on the data and signal infrastructure that underpins measurement - defining what you need, so they can build it right.
Several years of experience in marketing analytics, marketing science, or growth analytics, with deep expertise across at least two of Marketing Mix Modeling, Incrementality Testing (geo-experiments, RCTs), and Multi-Touch Attribution.
Hands-on experience building, validating, or calibrating MMM models - whether using Robyn, Google Meridian, PyMC-Marketing, LightweightMMM, Bayesian regression, or working closely with vendors who do.
Strong foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate.
Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks.
Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred).
Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau, or Metabase.
You thrive in ambiguity, work autonomously, and are energised by building in fast-paced, high-growth environments.
Experience with ad platforms (Google Ads, Meta Ads, TikTok Ads, Apple Search Ads) and their attribution APIs, conversion modelling, and server-side event integration (cAPI, Enhanced Conversions, SKAN).
Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape.
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.
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