Senior Analytics Manager

Airalo

正社員United Kingdom, SpainNot specified
SQL Python BigQuery dbt semantic layers AI-assisted tools Lightdash BI tools product analytics marketing and growth analytics finance analytics B2C tech environment experimentation frameworks A/B testing analytics engineering practices

Company Overview

Airalo is the world's first and largest eSIM store, helping travelers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and our annual Airalo Away retreat.

Job Title

Senior Analytics Manager

Remote Location

Remote - Spain or United Kingdom

Job Overview

We're looking for a Senior Analytics Manager to lead our team of data analysts across Product, Growth, Finance, and Commercial - a team of 4 today, growing to 7 over the next year. This is a hands-on leadership role where you'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travelers stay connected.

Job Responsibilities

  • Manage and coach a growing team of 4 data analysts across Product, Growth, Finance, and Commercial — running the operating rhythm: planning, 1:1s, reviews, and career development
  • Act as the go-to analytics partner for Product, Growth, Finance, and Commercial leaders — translating business questions into analysis plans, and findings into recommendations leaders can act on
  • Guide the team on the questions that matter most at Airalo: funnel performance, retention, LTV, conversion, pricing, channel effectiveness, and the unit economics that drive the business
  • Review analyses for rigour, clarity, and actionability before they reach stakeholders, and raise the bar on analytical craft across the team
  • Drive adoption of Lightdash across the business in partnership with Analytics Engineering — building the enablement layer (training, documentation, office hours, data literacy programs)
  • Establish lightweight intake, prioritisation, and delivery standards that keep the team working on the right things
  • Set standards for how analysis is scoped, delivered, and documented — balancing depth on strategic projects with responsiveness to the questions the business needs answered
  • Build institutional knowledge: make sure the team's work is discoverable, reusable, and compounds over time

Requirements

  • 7+ years in data analytics, product analytics, or data science, with at least 2 years of direct people management experience
  • Strong SQL and Python skills — fluent enough to pair with analysts on hard problems, review their code, and still write your own when it matters
  • Solid grasp of the modern data stack (BigQuery, dbt, semantic layers) and experience working closely with analytics engineering counterparts
  • A track record of using AI-assisted tools (Claude, Cursor, Copilot, or similar) to improve how analytics work gets done
  • Hands-on experience with modern BI tools (Lightdash, Looker, Tableau, Metabase, or similar), ideally including rollout and adoption work
  • Depth in at least two of: product analytics (funnels, feature adoption, experimentation), marketing and growth analytics (acquisition, channel performance, attribution, cohorts, LTV, CAC, ROAS), or finance analytics (forecasting, unit economics, planning)
  • Experience in a B2C tech environment - consumer apps, marketplaces, subscription products, or similar
  • Experience partnering with stakeholders at all levels - you can hold your own in a room with senior leaders, shape the questions before chasing the answers, and land recommendations that actually change decisions
  • Comfortable operating in a low-maturity data environment — you've worked somewhere that didn't have clean metrics definitions, established workflows, or a strong stakeholder culture around data, and you helped change that

Preferred Qualifications

  • Experience leading self-service BI adoption or building data literacy programs
  • Experience growing an analytics team through a hiring phase
  • Familiarity with experimentation frameworks and A/B testing at scale
  • Exposure to modern analytics engineering practices (dbt, metrics layers, KPI governance)

Benefits

  • Remote work flexibility
  • Generous PTO (Paid Time Off)
  • Wellness allowance
  • Learning allowance
  • Annual Airalo Away retreat

How to Apply

Click the "Apply for this job" button to submit your application. 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. These checks will only occur upon your prior consent and at the end of the selection process.

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.