Staff Data Analyst, Product in London

About Airalo

Airalo is the world’s first eSIM store that helps people connect in over 200+ countries and regions across the globe. We are building the next digital service that revolutionises the telecom industry. We are a travel-tech company and an equal-opportunity environment that values and executes diversity, inclusion, and equity. Our team is spread across 50+ countries and six continents. What glues us together is our commitment to changing the way you connect.

We hope that you care deeply about the quality of your work, the intrinsic worth of tasks, and the success of your team. You are self-disciplined and do not require micromanagement in terms of your skillset and work ethic. You do your best to flourish as an individual every day while working hard to foster a collaborative team environment. You believe in the importance of being — and staying — authentic, honest, positive, and kind. You are a good interlocutor with clear and concise communication. You are able to manage multiple projects, have an analytical mind, pay keen attention to detail, and love to get your hands dirty. You are cognizant, tolerant, and welcoming of vulnerabilities and cultural differences.

About the Role

Position: Full-time / Employee
Location: Remote-first
Benefits: Health Insurance, work-from-anywhere stipend, annual wellness & learning credits, annual all-expenses-paid company retreat in a gorgeous destination & other benefits

We’re looking for a Staff Data Analyst, Product to own product analytics at Airalo. You’ll be the go-to person for understanding how our 20M+ users across 190+ countries interact with our product—what drives activation, engagement, retention, and ultimately revenue. This is a high-impact IC role with significant scope: you’ll partner directly with product teams and leadership to shape product strategy through data.

You’ll report to the Director of Data and partner closely with analytics engineering, product managers, and cross-functional stakeholders. Success looks like product decisions backed by rigorous analysis, experimentation that compounds learning, and metrics the business trusts and uses. Beyond delivering insights that influence the roadmap, you’ll help shape how product analytics operates at Airalo—our model is evolving, and you’ll have real input into how we scale coverage and structure the team.

What you’ll do:

• Partner with Product teams to define success metrics, design experiments, and evaluate feature impact.
• Partner with fractional squad analysts where they exist; serve as the primary analytics partner for squads without dedicated coverage and help evolve our organisational model for product analytics.
• Be hands-on with analysis, dashboards, and metric development while building the foundations for a scalable product analytics practice.
• Define, own, and govern product metrics and KPIs in alignment with our company-wide unified KPI framework—ensuring consistency, clarity, and trust in how we measure product performance in alignment with business goals.
• Build and maintain core product health dashboards in partnership with analytics engineering as we’re transitioning to self-service via Lightdash and maturing our analytics platform.
• Conduct deep-dive analyses on user behavior, funnel performance, and cohort trends to surface opportunities and diagnose issues.
• Design and analyze A/B tests and experiments, establishing best practices for experimentation rigor.
• Translate complex analytical findings into clear recommendations for technical and non-technical stakeholders, including executive leadership.
• Partner with data and product teams to define data requirements and ensure product event tracking meets analytical needs.

Must-haves:

• 7+ years in product analytics, data science, or quantitative analytics roles, with demonstrated impact at staff/principal level.
• Deep experience with product analytics in a B2C or marketplace environment—you understand funnels, retention curves, and user lifecycle intimately.
• Track record of defining and owning metrics frameworks—you’ve established KPIs, driven cross-functional alignment, and maintained metric integrity as products and teams scaled.
• Strong SQL skills and proficiency in Python or R for statistical analysis and modeling.
• Proven track record designing and analyzing experiments, with solid understanding of statistical methods and common pitfalls.
• Experience with product analytics tools (Amplitude, Mixpanel, or similar) and modern BI platforms.
• Ability to translate ambiguous business questions into structured analytical approaches.
• Excellent communication skills—you can tell a compelling story with data and influence product decisions at the leadership level.
• Strong business intuition and user empathy; you think beyond the data to understand the "why".
• Comfortable operating with autonomy in a fast-moving environment where not everything is well-defined—you bring structure without waiting for permission.
• You’ve been the person who brought rigor to a team that didn’t have it—introduced frameworks, challenged assumptions, and shifted how product teams think about data.

Good to Have:

• Experience in marketplace, telecom, travel or subscription/usage-based businesses.
• Experience building experimentation programs or platforms from scratch—culture, tooling, and processes.
• Previous work at a scale-up during hypergrowth, where you’ve seen what breaks and what scales.

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.

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.