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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.
Job Responsibility:
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
Shape the product analytics roadmap and advocate for data-informed product development practices across the organisation
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
Build and maintain core product health dashboards in partnership with analytics engineering as we transition to self-service via LightDash
Conduct deep-dive analyses on user behaviour, funnel performance, and cohort trends to surface opportunities and diagnose issues
Design and analyse A/B tests and experiments, establishing best practices and building experimentation culture within product teams
Translate complex analytical findings into clear recommendations for technical and non-technical stakeholders, including executive leadership
Partner with data and product engineering to define event tracking requirements and ensure product instrumentation 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
Track record of defining and owning metrics frameworks
Strong SQL skills and proficiency in Python or R for statistical analysis and modelling
Proven experience designing and analysing experiments, with solid understanding of statistical methods and common pitfalls
Experience with product analytics tools (Amplitude, Mixpanel, or similar) and modern BI platforms
Excellent communication skills
You've been the person who brought analytical rigour to a team that didn't have it
Comfortable operating with autonomy in a fast-moving environment where not everything is well-defined
Nice 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
Experience shaping how analytics is structured within an organisation- embedded vs. centralised models, coverage decisions, ways of working
adapting to an evolving model and organisational size
What we offer:
Health Insurance
work-from-anywhere stipend
annual wellness & learning credits
annual all-expenses-paid company retreat in a gorgeous destination