Senior Data Analyst, Product and Business

🕒 il y a 28 jours

🌐 Royaume-Uni, Espagne – Distant

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⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

👻 Score fantôme 19%

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🗣️🇺🇸🇬🇧 Anglais requis

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Airalo

51 - 200 employés

📡 Télécommunications

✈️ Tourisme

Telecommunications • Technology • Travel

Airalo est le premier magasin d'eSIM au monde qui fournit des cartes SIM numériques (eSIM) aux voyageurs dans plus de 200 pays et régions à l'échelle mondiale. L'entreprise offre une solution innovante pour éviter les frais d'itinérance élevés en permettant aux utilisateurs d'acheter et d'activer des eSIM via son application, assurant ainsi une connectivité instantanée sans le besoin de cartes SIM physiques. Airalo répond aux besoins de divers voyageurs en proposant des eSIM locales, régionales et mondiales avec des plans tarifaires prépayés transparents, soutenus par un service client disponible 24h/24 et 7j/7. La plateforme supporte également les partenariats via des APIs et offre des incitations telles que des crédits pour parrainage. Airalo représente une approche moderne de la connectivité mobile mondiale, en faisant un outil essentiel pour les voyageurs fréquents.

Description

• Partner with product teams to define success metrics, design experiments, and evaluate feature impact • Design and analyse experiments with statistical rigour and champion experimentation best practices • Collaborate with engineering on key metrics, tracking data needs, event taxonomy, and product data quality • Guide and implement product-level KPIs within a tiered framework, connecting product metrics to business outcomes • Conduct deep-dive analyses across funnels, retention, cohorts, operational, CX, commercial, product, and business performance • Size opportunities and build business cases connecting metric movements to revenue impact • Build and maintain governed LightDash dashboards and support self-serve analytics adoption • Interpret metrics and experiment results with PMs, product leaders, and squad stakeholders • Evaluate bets, inform roadmap prioritisation, and contribute leadership recommendations • Elevate data use across product and business teams and build analytical frameworks for data-driven decision-making

🎯 Exigences

• 4+ years in product or commercial analytics, data science, or quantitative analytics roles, with demonstrated senior-level impact • Deep product analytics experience in a B2C, marketplace, or transactional environment • Understanding of funnels, retention curves, user lifecycle, and product metrics’ connection to revenue • Experience working across product, operational, and commercial data • Expertise in experimentation and A/B testing, including experimentation best practices, decision frameworks, and failure modes • Experience defining tracking data and event taxonomies with engineering; strong data governance instincts • Track record of delivering metrics and analytical frameworks with cross-functional alignment • Ability to size opportunities and connect product analytics to financial outcomes • Strong SQL and Python/R proficiency • Experience with data visualisation and BI tools such as LightDash, Looker, Tableau, or similar • Excellent audience-tailored communication skills • Ability to operate autonomously in ambiguous environments and bring structure • Proactive, self-starter mindset • Comfortable using AI tools to augment analytical work • Nice to have: marketplace, telecom, travel, or subscription/usage-based business experience • Nice to have: experimentation tools, causal inference beyond A/B testing, Amplitude, Mixpanel, Firebase, dbt, LightDash, or similar semantic/BI layers

🏖️ Avantages

• Fully remote work • Benefits package (details linked in the posting) • Flexible work from anywhere in the world • Equal-opportunity employer committed to diversity, equity & inclusion • Reasonable accommodations throughout the interview process for individuals with disabilities

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