Senior Product Data Analyst

AirHelp is a global tech company specializing in air travel protection. Since 2013, it has helped millions of passengers claim compensation and protected travelers through its membership program AirHelp+. The company has a global team of over 400 employees speaking 19 languages and advocates for fair air passenger rights.

• Proven experience in data analytics within product engineering environments, collaborating closely with Product Managers.
• Proficiency in SQL for data cleaning, extraction, and manipulation.
• Fluency in behavioural analytics platforms and Google Analytics.
• Experience designing and delivering A/B tests using platforms like GrowthBook or Optimizely, with understanding of sample sizing and segmentation.
• Experience working in AI-native development environments using agentic coding tools such as Claude Code and Codex.
• Ability to apply a product-oriented mindset to analytics and constructively challenge product strategy.
• Bonus: Experience with dbt and data modelling, working closely with data teams on AI data product pipelines.

• Embed within product engineering squads to provide strategic analytical support, partnering with Product Managers and engineers to define hypotheses, measure feature performance, and inform product direction.
• Conduct analyses to understand traveller needs and behaviours across their journey.
• Improve mobile app monetisation by identifying friction points in claims submission and AirHelp Plus sales.
• Lead end-to-end data curation to capture, clean, and expose behavioural and transactional data for AI products.
• Collaborate with data engineers to build AI-powered analytics workflows enabling product self-service.
• Partner with engineers on event tracking, instrumentation, and data ingestion to ensure measurement is built into features from launch.
• Develop funnel and cohort analyses to inform optimisation and product strategy.
• Contribute to analytics craft through systems thinking, knowledge sharing, and raising data usage standards across product teams.