At a Glance
- Tasks: Lead a team to build self-service analytics and data models for a global user base.
- Company: Join Airalo, the first eSIM store revolutionising global connectivity.
- Benefits: Enjoy health insurance, remote work perks, and an all-expenses-paid company retreat.
- Other info: Work remotely with a culture that values diversity, inclusion, and personal growth.
- Why this job: Make a real impact in a fast-paced travel-tech environment with diverse teams.
- Qualifications: 5+ years in analytics engineering and strong leadership skills required.
The predicted salary is between 48000 - 72000 £ per year.
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 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.
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 an Analytics Engineering Manager to lead our self-service analytics infrastructure and data modelling practice at Airalo. You’ll own the foundations that make analytics possible at scale: the semantic layer, core data models, dashboards, and the self-service platform (Lightdash) that enables teams across the business to answer their own questions. This is a building role-you’ll establish how we model data, how we govern metrics, and how we roll out self-service capabilities across a 20M+ user business operating in 190+ countries.
You’ll report to the Director of Data and partner closely with analytics teams and stakeholders across the business, translating their analytical needs into scalable, production-quality data models. Success looks like business users confidently answering their own questions, a governed semantic layer that analytics teams trust, and a self-service platform that replaces our patchwork of legacy reporting tools and robust data models that scale without use cases.
What you’ll Do
- Lead and grow a team of analytics engineers (currently 2, scaling to 4 this year), building a culture of craft, documentation, and user empathy
- Drive the rollout and adoption of Lightdash as our single source of truth for business reporting, based on a unified KPI framework currently in progress
- Own all dashboard development initially - from executive reporting to operational views, with support from analysts - then fully transition the ownership to analysts as self-service matures, building the templates and processes that enable this shift
- Partner with stakeholders to translate reporting needs into well-designed, maintainable data products
- Design and deliver training and enablement programs for business users across all functions
- Own and evolve our core dbt models and semantic layer to support key analytical use cases: customer LTV, acquisition effectiveness, retention, funnel performance, and financial reporting
- Establish governance and standards: metric definitions, dashboard design patterns, modelling practices, testing frameworks, and documentation
- Partner with analysts to translate their needs into scalable data assets, and with Data Engineering on pipeline reliability and data quality
- Partner with Data Engineering on pipeline reliability, data quality, and infrastructure decisions
- Balance rigour with delivery speed-we're still building foundations while the business moves fast
Must have
- 5+ years in analytics engineering, data engineering, or technical analytics roles, with 2+ years of people management experience-ideally building or scaling a team
- You’re a hands-on leader who partners with senior leadership on strategy and priorities while owning execution and day-to-day team decisions.
- Deep proficiency in dbt-you’ve built and scaled dbt projects, not just contributed to them
- Strong SQL and experience with at least one programming language (Python preferred)
- Experience implementing or heavily using a semantic layer / metrics layer (Lightdash, Looker, MetricFlow, or similar)
- Track record of driving self-service analytics adoption-training programs, documentation, stakeholder enablement
- Familiarity with dimensional modelling, data warehouse design patterns, and data quality frameworks
- Experience working closely with analysts and translating their needs into scalable data models
- Strong business acumen-you’re driven to build scalable data products that deliver real impact, and you prioritise ruthlessly to get there
- Comfortable with ambiguity and greenfield data environments, with a passion for building team culture and raising the bar on data quality and usability
Nice to have
- Experience in marketplace, B2C, or subscription/usage-based businesses
- Previous work in low-maturity or greenfield data environments
- Familiarity with our stack: dbt, BigQuery, Lightdash, Fivetran
- Experience with marketing analytics use cases: attribution, LTV, cohort analysis
- Previous experience at a scale-up that went through hypergrowth
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
Analytics Engineering Manager employer: Airalo
Airalo is an exceptional employer that champions a remote-first work culture, offering employees the flexibility to work from anywhere while enjoying comprehensive benefits such as health insurance, wellness credits, and an annual all-expenses-paid company retreat. With a strong commitment to diversity, inclusion, and employee growth, Airalo fosters a collaborative environment where analytics professionals can thrive, innovate, and make a significant impact in the rapidly evolving travel-tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate; you’re genuinely interested in what they do and how you can contribute.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful—think of it as your personal brand statement.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Analytics Engineering Manager
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see that you genuinely care about analytics and how it can transform businesses like Airalo. Share your experiences and what excites you about this opportunity.
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the job description. We’re looking for someone who can lead a team and drive self-service analytics, so be specific about your relevant achievements in these areas.
Be Clear and Concise:We appreciate clear communication, so keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to read through your qualifications and experiences without getting lost in lengthy paragraphs.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Airalo!
How to prepare for a job interview at Airalo
✨Know Your Stuff
Make sure you brush up on your analytics engineering knowledge, especially around dbt and SQL. Be ready to discuss your past projects and how you've scaled data models. This role is all about building foundations, so show them you can do just that!
✨Show Your Leadership Skills
As an Analytics Engineering Manager, you'll be leading a team. Prepare examples of how you've successfully managed teams in the past, focusing on fostering collaboration and user empathy. Highlight any training programs you've implemented to drive self-service analytics adoption.
✨Understand Their Needs
Familiarise yourself with Airalo's mission and the specific challenges they face in the telecom industry. Think about how you can translate their reporting needs into scalable data products. Being able to articulate this will demonstrate your business acumen and understanding of their goals.
✨Be Authentic and Positive
Airalo values authenticity and kindness, so let your personality shine through during the interview. Be honest about your experiences and how you handle challenges. A positive attitude can go a long way in making a great impression!
