As a Senior Data Analyst at Airalo, you'll analyze customer behavior and retention KPIs, collaborate cross-functionally, and provide actionable insights to improve customer engagement and loyalty.
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.
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
As Airalo’s Senior Data Analyst, Growth, specialising in retention analytics, you will partner with the lifecycle and CRM teams to analyze customer behavior, design experiments, and improve engagement, retention, and loyalty. You will transform raw data into actionable insights, helping shape campaigns across email, push, SMS, app, and referral. Your work will ensure we deepen customer relationships and maximize long-term value.
Responsibilities include but aren’t limited to:
- Analyze retention KPIs including churn, repeat purchase, LTV, and cohort performance.
- Partner with lifecycle marketers to design and evaluate experiments across email, push, and SMS.
- Build dashboards that track customer journey performance across acquisition, activation, and retention.
- Segment audiences and recommend personalized engagement strategies.
- Support predictive modeling to identify at-risk customers and high-value cohorts.
- Provide insights to improve onboarding, win-back, and loyalty campaigns.
- Collaborate with product, content, and data science teams to improve customer experience.
Must haves:
- 4+ years of experience in lifecycle/retention marketing analytics, CRM analytics, or related field.
- Strong proficiency in SQL and foundational experience with Python for customer data analysis.
- Experience with lifecycle/CRM platforms (Braze, Klaviyo, Iterable, HubSpot, CleverTap or similar).
- Understanding of retention KPIs and experimentation best practices.
- Ability to analyze large datasets and translate findings into actionable strategies.
- Clear communication skills and ability to work cross-functionally.
- A data-driven, curious, and collaborative mindset.
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.
Top Skills
Braze
Clevertap
Hubspot
Iterable
Klaviyo
Python
SQL
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