data analyst in TravelTech

AirAdvisor is a TravelTech startup that helps air travelers receive compensation for flight disruptions and other airline-related issues. It operates across the EU, the UK, the US, Canada, and beyond, processing passenger claims and developing subscription coverage for flight and baggage disruptions.

• Optimize the claim conversion funnel by segmenting performance across geography, claim type, device, traffic source, and user cohort;
• Design and execute A/B tests, multivariate tests, and quasi-experiments for product features, UX changes, pricing strategies, messaging, and claim submission and approval rates;
• Analyze user behavior, retention, churn, conversion patterns, cohort performance, market trends, and user segments;
• Translate experiment results and complex analyses into actionable recommendations for Product, Leadership, and other stakeholders;
• Build and maintain core product metrics, including conversion rate, approval rate, revenue per visitor, customer lifetime value, and claim success rate;
• Build dashboards and reports to monitor real-time product performance against key KPIs;
• Track claim conversion rate by stage, approval rate, average claim value, customer acquisition cost, lifetime value, retention, and churn by segment and geography;
• Partner with the CEO, Product Managers, Engineers, and Designers to shape product strategy and roadmap prioritization;
• Support legal and operations teams with data insights to improve claim validation and approval rates;
• Evaluate new product opportunities and validate customer demand with data;
• Research revenue diversification models across other B2C industries;
• Analyze claim potential by country, including flight frequency, passenger volumes, regulatory environment, competitor presence, and average claim value;
• Prioritize geographic expansion targets and build business cases with TAM, customer acquisition potential, and revenue projections;
• Monitor existing market performance and identify high-opportunity segments;
• Recommend market-entry strategies covering timing, messaging, partnerships, and regulatory considerations;
• Identify tracking and data coverage gaps and close them through tag management, data layers, and analytics events;
• Manage and expand data pipelines from product and marketing sources into the BigQuery analytics warehouse;
• Specify and validate tracking requirements with engineering and product teams for new features and funnel steps;
• Maintain and improve the reliability of the analytics infrastructure.

• 4–7+ Years of growth analytics and product analytics experience at B2C companies with direct influence on revenue and business decisions;
• Proven experience optimizing product funnels and improving conversion rates with quantified revenue impact;
• Experience identifying new revenue streams, partnerships, or markets that generated significant value;
• Experience with pricing tiers, customer lifetime value modeling, and data-driven revenue optimization;
• Experience designing and interpreting A/B tests and experiments with statistical rigor;
• Hypothesis-driven, curious about market opportunities, comfortable with ambiguity, and focused on business impact;
• Strategic thinking about new markets, revenue models, and cross-industry opportunities;
• Strong ownership mindset focused on business impact and growth potential;
• Mastery of Looker Studio, Tableau, Power BI, or similar BI and visualization tools;
• Strong SQL skills, including complex queries, large datasets, performance optimization, and joining multiple data sources;
• Fluency in Python or R for statistical analysis, cohort analysis, modeling, TAM estimation, and data manipulation;
• Experience with tag management and event-tracking tools such as Google Tag Manager, GA4, Amplitude, or Mixpanel;
• Experience building and managing data warehouses, preferably BigQuery;
• Data engineering skills for self-executing analysis within GTM and BigQuery;
• Solid understanding of retention, LTV, funnel analysis, cohort analysis, and unit economics;
• Experience building financial models, pricing models, revenue forecasts, and unit economics;
• Experience with EU, UK, Canadian, and/or US companies;
• Nice to have: Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, or Mathematics with strong Product and Marketing education and/or expertise, subscription or pricing models, monetization strategy, event tracking, data warehouse management, causal inference, advanced statistical methods, machine learning applications in product development, experience in OTAs, TravelTech, FinTech, LegalTech, or SaaS.

• Remote-first culture with flexible start and end times;
• Exclusive contract / Service Agreement;
• Easily recorded working hours through a time and work activity-tracking application;
• Paid Time Off and public holidays;
• Professional growth opportunities through global expansion, new product and service development, and new market entry;
• Supportive international team with colleagues in 18 countries.