Senior Data Analyst, Product and Business

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🔥 0 minutes ago

🌐 United Kingdom, Spain – Remote

🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Airalo

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

✈️ Travel

Telecommunications • Technology • Travel

Airalo is the world's first eSIM store that provides digital SIM cards (eSIMs) to travelers in over 200 countries and regions globally. The company offers an innovative solution to avoid high roaming charges by allowing users to purchase and activate eSIMs via its app, ensuring instant connectivity without the need for physical SIM cards. Airalo caters to various travelers by providing local, regional, and global eSIMs with transparent, prepaid pricing plans, supported by 24/7 customer service. The platform also supports partnership through APIs and offers incentives such as referral credits. Airalo represents a modern approach to global mobile connectivity, making it an essential tool for frequent travelers.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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