Senior Analytics Engineer, Finance

Airalo; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Airalo is hiring a Senior Analytics Engineer to shape financial data models and governance, transforming data into trusted datasets powering product, marketing, finance, and commercial teams across 30+ million users.

You will own order-to-revenue pipelines, ensure accuracy, and collaborate with finance and ERP partners to align legacy and new systems, while maturing the analytics platform and semantic layer.

Qualifications

• Bachelor's/Master's degree in a quantitative field.
• Hands-on experience building finance and/or revenue data models, including order-to-revenue pipelines and revenue recognition logic.
• 5+ years in analytics engineering or related roles with modeling responsibilities.
• Strong SQL and data modeling skills with scalable dimensional models.
• Significant experience with dbt (Core or Cloud) for transformation logic, testing and documentation.
• Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster).
• Experience with BI platforms and semantic layers; LightDash knowledge a plus.
• Proven ability to partner with analysts and stakeholders to translate requirements into data products.
• Strong communication skills and proactive ownership from concept to production.
• Nice-to-have: experience in marketplace, telecom, travel/mobility; scale-up exposure; KPI governance.

Responsibilities

• Design, implement, and maintain data models using dbt in a cloud data warehouse.
• Build finance and revenue data models, including order-to-revenue workflows and reconciliation.
• Own the order-to-revenue pipeline with refunds, currency conversion, and edge cases.
• Collaborate to scale ELT workflows ensuring data freshness and reliability.
• Partner with Finance and ERP teams to validate data models across systems.
• Implement testing, documentation, and monitoring for data quality and governance.
• Translate complex business questions into scalable data artifacts.
• Drive adoption of self-service analytics with stakeholders.
• Contribute to evolving the modern data stack and evaluate new tools.

Skills

SQL

Data modeling

Analytics engineering

dbt

Attention to detail

BigQuery

Airflow

Dagster

LightDash

Stakeholder management

Communication

Self-motivation

Industry knowledge

Data maturity

Scale-up experience

Education

Quant degree

Tools

dbt

BigQuery

Airflow

Dagster

LightDash

Job description

Help Us Build The Future of Travel

At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.

Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.

We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.

Your Next Destination

• Location: Remote, anywhere in Spain or the UK.
• Contract:
  • Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain)
  • UK: Full-time, permanent
• Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
• Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.

Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most:

• Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana
• Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom

We’re looking for a Senior Analytics Engineer to help shape how data is modeled and governed at Airalo, transforming first- and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams, serving 30+ million users and growing. This role carries particular weight in our finance and revenue domain: you’ll steward the models finance relies on directly, including order-to-revenue flows and reconciliation against third-party systems such as our ERP, where precision and auditability matter as much as scalability.

Our analytics engineering function is still maturing, so you’ll have real ownership in establishing standards, defining our semantic layer, and shaping how data is structured as we scale globally, working closely with the rest of the data team to build a production-grade analytics platform on LightDash and beyond.

What You'll Do:

• Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic
• Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting
• Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases
• Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting
• Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform
• Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance)
• Collaborate cross-functionally to translate complex business questions into scalable, production-ready data artifacts
• Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build
• Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches

Must Haves:

• Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience)
• Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar)
• 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities
• Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models
• Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure
• Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation
• Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar)
• Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus
• Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products
• Strong communication skills, with the ability to explain complex data concepts to diverse audiences
• Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production

Nice to Have:

• Experience in marketplace, telecom, or travel/mobility businesses
• Background in B2C product companies with high-volume event data
• Experience building analytics engineering capabilities in low-maturity data environments
• Previous experience at a scale-up that went through hypergrowth
• Experience defining and governing company-wide KPIs and metric frameworks
• Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability

Why People Join Us

Why people join us in Spain

We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.

Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact.

For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home.

Why people join us in the UK

We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers.

Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.

As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane.

Before You Hit Apply

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: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy

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.