Staff Data Analyst, Product

Airalo is a travel-tech company and the world’s first eSIM store, helping people connect in over 200+ countries. They are building a revolutionary digital telecom service with a diverse, global team. The company values diversity, inclusion, and equity.

Location: Remote-first

Responsibilities

• 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

Requirements

• 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

Benefits

• Health Insurance
• work-from-anywhere stipend
• annual wellness & learning credits
• annual all-expenses-paid company retreat in a gorgeous destination