Senior Data Analyst, Product and Business

Airalo runs the world's first eSIM store, helping millions of travellers access affordable mobile data across 200+ countries and regions. The team is 400+ people spread across 60+ countries, fully remote by design — and notably, many of the people building the product were customers first.

**The role**

Airalo is hiring a Senior Data Analyst to raise how data is used across both the product organisation and the wider business. You would act as an analytics partner to both sides, connecting product metric movements to business and feature performance, and building the analytical frameworks teams use to make better bets.

The listing is clear that the analytics discipline here is still being established, so this suits someone who wants to shape it rather than inherit it.

**What you would do**

- Partner with product teams to define success metrics, design experiments and evaluate feature impact
- Design and analyse experiments with statistical rigour, while helping teams build their own experimentation capability
- Work with engineering on key metrics and tracking data needs, driving ownership and quality of product data
- Guide and implement product-level KPIs within Airalo's tiered framework, connecting product metrics to business outcomes
- Run deep-dive analyses across funnel, retention and cohort trends alongside operational, CX and commercial performance
- Size opportunities and build business cases before the team commits, tying metric movements to revenue impact
- Build and maintain governed dashboards in LightDash, supporting self-serve analytics across mixed-function squads
- Partner with leadership to evaluate bets and inform roadmap prioritisation

**What you would bring**

- 4+ years in product or commercial analytics, data science or another quantitative role, with senior-level impact
- Deep product analytics experience in a B2C, marketplace or transactional environment — funnels, retention curves, user lifecycle, and how product metrics connect to revenue
- Proven experimentation expertise across A/B testing, decision frameworks and common failure modes
- Strong instrumentation and data governance instincts, including defining tracking data and event taxonomy with engineering
- Ability to size opportunities and connect product analytics to financial outcomes
- Strong SQL plus Python or R — you write queries and build analyses yourself regularly
- Experience with BI tools such as LightDash, Looker or Tableau
- Comfort operating with autonomy where not everything is well-defined
- **Comfort using AI tools to augment analytical work**, with a point of view on where they help and where they do not

**Nice to have**

- Marketplace, telecom, travel or subscription/usage-based business experience
- Causal inference methods beyond A/B testing
- Product analytics tools such as Amplitude, Mixpanel or Firebase
- Familiarity with dbt or similar semantic layers

**Compensation — disclosed across six European bands**

Airalo calls this "roaming-free recruitment" and publishes ranges up front:

- **UK:** £64,000 – £92,000
- **Ireland:** €59,200 – €85,100
- **Western/Northern Europe** (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €49,685 – €123,404
- **Southern Europe** (Spain, Portugal, Italy, Greece, Malta): €46,000 – €92,972
- **Central & Eastern Europe** (Czechia, Hungary, Poland, Lithuania, Estonia): €46,517 – €77,895
- **South-Eastern Europe / Balkans** (Romania, Serbia, Bulgaria): €43,350 – €77,138

Your band depends on where you are based, and Airalo says the Talent team walks through it on the first call.

**A note on location**

The listing header reads "United Kingdom / Spain," but the compensation section states the role is open across Airalo's supported locations in Europe and then lists bands covering roughly twenty countries.

The salary block is the more detailed and more recent-looking statement, so this is filed as Europe-wide. If you are based outside the UK or Spain but within one of the listed bands, it is worth applying and confirming rather than being put off by the header.

**Before applying**

Full-time and permanent. English is the day-to-day working language, in meetings and async.

Airalo uses AI-assisted tools to review and organise CV information, with all hiring decisions made by humans. If you reach interview, AI-assisted note-taking may be used and **you can opt out**. Background checks may be requested at the end of the process, with your consent.