Principal Data Analyst, Product

1 week, 5 days ago
Full-time
Lead
Data Science and Analytics
Airalo

Airalo

Airalo is the world's first eSIM store offering travelers access to eSIMs in 200+ countries & regions at affordable prices. With Airalo, travelers can manage their eSIMs, top up on the go, and enjoy pain-free connectivity while traveling. Say goodbye t...

Airlines
51-250
Founded 2019
$67M raised

Description

  • Partner with product teams to define success metrics, design experiments, and evaluate feature impact.
  • Design and analyse experiments with strong statistical rigor, including hypothesis discipline, power analysis, and clear decision criteria.
  • Evaluate and improve the experimentation tooling landscape to determine what is fit for purpose.
  • Define tracking plans, naming conventions, and instrumentation governance with engineering to ensure features can be measured before launch.
  • Define and implement product-level KPIs within a tiered framework that connects product metrics to business outcomes.
  • Build and maintain governed product dashboards in LightDash and drive self-service adoption across product squads.
  • Train product managers and leaders to interpret funnel metrics, read experiment results, and use governed reporting confidently.
  • Conduct deep-dive analyses on user behaviour, funnel performance, cohort trends, retention dynamics, and opportunity sizing.
  • Partner with product leadership to evaluate product bets, inform roadmap prioritisation, and deliver recommendations to leadership and the board.
  • Coach fractional squad analysts and help shape how product analytics scales through coverage models, org design, and shared frameworks.

Requirements

  • 7+ years of experience in product analytics, data science, or quantitative analytics, with impact at staff or principal level.
  • Deep experience in product analytics for a B2C, marketplace, or transactional environment.
  • Proven experimentation expertise, including building experimentation practices and introducing hypothesis discipline and decision frameworks.
  • Strong instrumentation and data governance experience, including defining tracking plans and event taxonomy with engineering.
  • Track record of defining and owning metrics frameworks with cross-functional alignment.
  • Proven ability to size opportunities and connect product analytics to financial outcomes.
  • Strong SQL and Python/R proficiency for querying and analysis.
  • Experience with data visualisation and BI tools such as LightDash, Looker, Tableau, or similar.
  • Experience building analytical frameworks that others adopt and extend.
  • Excellent communication skills and comfort operating autonomously in ambiguous environments.
  • A proactive, self-starter mindset with the ability to work in fast-paced environments where analytics discipline is still being established.
  • Comfort using AI tools to augment analytical work.
  • Must reside in and be fully eligible to work in Romania, Spain, or the UK.
  • Preferred experience in marketplace, telecom, travel, or subscription/usage-based businesses.
  • Preferred experience with causal inference methods beyond A/B testing.
  • Preferred experience evaluating and implementing experimentation platforms.
  • Preferred experience with product analytics tools such as Amplitude, Mixpanel, or Firebase.
  • Preferred familiarity with dbt, LightDash, or similar semantic/BI layers.

Benefits

  • Remote work.
  • Generous PTO.
  • Wellness allowance.
  • Learning allowance.
  • Annual Airalo Away retreat.
  • Opportunity to work for a globally distributed, fully remote team.
  • Reasonable accommodations for individuals with disabilities during the interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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