Senior Analytics Manager

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;

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.

Do you love being close to the work — coaching analysts, reviewing analyses, and shaping good questions with business stakeholders? We’re looking for a Senior Analytics Manager to lead our team of data analysts across Product, Growth, Finance, and Commercial—a team of 4 today, growing to 7 over the next year.

This is a hands‑on leadership role, not a detached one. Your team’s work will shape how Airalo grows – which products get built, how we price across 190+ countries, where we invest in acquisition, and how we keep travellers coming back. You’ll run the day‑to‑day of the team, partner directly with business leaders, and make sure the analyses that leave your team actually change decisions rather than end up in a deck nobody acts on.

You’ll work in close partnership with the Director of Data to bring the data strategy to life, and alongside the Analytics Engineering Manager on the shared platform and reporting layer. Self‑service is central to what we’re building – Lightdash, a strong semantic layer, and a data‑literate business – and you’ll play a leading role in making that real.

• Manage and coach a growing team of 4 data analysts across Product, Growth, Finance, and Commercial—running the operating rhythm: planning, 1:1s, reviews, and career development.
• Act as the go‑to analytics partner for Product, Growth, Finance, and Commercial leaders—translating business questions into analysis plans, and findings into recommendations leaders can act on.
• Guide the team on the questions that matter most at Airalo: funnel performance, retention, LTV, conversion, pricing, channel effectiveness, and the unit economics that drive the business.
• Review analyses for rigour, clarity, and actionability before they reach stakeholders, and raise the bar on analytical craft across the team.
• Drive adoption of Lightdash across the business in partnership with Analytics Engineering—building the enablement layer (training, documentation, office hours, data literacy programs) that turns stakeholders into confident users of the data.
• Establish lightweight intake, prioritisation, and delivery standards that keep the team working on the right things—and the communication rhythms (analytics roadmap visibility, stakeholder check‑ins, clear trade‑off conversations) that keep the business aligned on what analytics is delivering and why.
• Set standards for how analysis is scoped, delivered, and documented—balancing depth on strategic projects with responsiveness to the questions the business needs answered this week.
• Build institutional knowledge: make sure the team’s work is discoverable, reusable, and compounds over time rather than getting lost in ad‑hoc threads.
• Experience and understanding around product teams work with data—embedding analytics into product discovery,…