Senior Analytics Manager

About Airalo

Alo! 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 revolutionizes 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.

Check out more information about Airalo in our Public Handbook here.

About you

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 Senior Analytics Manager to join our growing Data team and help shape how analytics is done at Airalo. Our analytics function is still young, which means a real opportunity to build processes, establish standards, and influence how things evolve as we scale. You'll own the analytics roadmap and drive execution across product, marketing, and business analytics, partnering with the Director of Data on strategy while taking full ownership of delivery and day-to-day team leadership.

What You'll Do

• Lead a growing team of product, marketing, and business analysts, owning the analytics roadmap and execution while partnering with the Director of Data on strategic direction and capability building
• Establish foundational processes, workflows, and standards as the team scales
• Drive the rollout and adoption of self‑service analytics (LightDash) across the organisation, including training and enablement programmes for business users
• Partner with Analytics Engineering to build and maintain production‑quality reporting models, dashboards, and semantic layers that empower teams to answer their own questions
• Deliver marketing measurement and optimisation: attribution analysis, incrementality testing, cohort LTV modelling, CAC/ROAS frameworks, and customer value segmentation
• Build a cohesive analytics practice that connects insights across product, marketing, and commercial teams – ensuring the business has a unified view of key questions like customer value, acquisition effectiveness, and growth drivers
• Translate findings into clear, actionable recommendations and embed analytics capabilities within product, marketing, and commercial teams
• Build a collaborative, high‑performance team culture that balances rigour with speed

Must Have

• Bachelor's/Master’s degree in a quantitative field (statistics, economics, mathematics, computer science, or similar)
• 7+ years in analytics, data science, or related quantitative roles, with 3+ years of people‑management experience – ideally in scaling or building teams from the ground up
• Experience in technology‑driven environments – B2C, marketplace, or subscription businesses – where data informs product and commercial decisions at scale
• Track record of delivering measurable business impact through analytics – retention, conversion, LTV, CAC, ROAS, pricing, funnel optimisation, financial forecasting – including building the frameworks that made these insights repeatable and actionable across teams
• Strong experimentation foundations: hypothesis development, experiment design, analysis, and communicating insights across product features, pricing, and marketing initiatives
• Marketing measurement experience: attribution, incrementality, media mix concepts, cohort analysis, and channel performance evaluation
• Operational rigor – you've established metric governance, experiment tracking, and reproducible workflows that scale across multiple teams
• Proficiency in SQL and at least one analytical programming language (Python/R), with experience in modern BI tools and semantic layers – LightDash experience is a plus
• Familiarity with analytics engineering concepts (dbt, data modelling, metrics layers) and a collaborative approach to working with data platform teams
• Comfortable with ambiguity and greenfield environments, with a passion for building team culture, developing talent, and raising the bar on analytical craft

Nice to have

• Experience in marketplace, telecom, or travel/mobility businesses
• Familiarity with subscription or usage‑based revenue models
• Previous experience at a scale‑up that went through hypergrowth
• Experience building analytics capabilities in low‑maturity data environments
• Background in predictive LTV modeling
• Familiarity with marketing mix modelling

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, available here.

We sincerely thank all applicants in advance for submitting their interest in this opportunity. 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.