Senior Product Data Analyst

Join AirHelp as a Senior Product Data Analyst, where you'll drive measurable impact in claims adoption, conversion funnel optimization, and the growth and retention of our AH+ Subscription product. You'll embed within product engineering squads, conduct analyses to understand traveler needs, improve mobile app monetization, and lead the data curation process. You'll also enable product self-service analytics and contribute to the analytics craft at AirHelp.

• Drive measurable impact across claims adoption on mobile, conversion funnel optimisation, and the growth and retention of the AH+ Subscription product.
• Shape product direction with data, own the data curation pipeline that powers AI-driven data products, and challenge assumptions to define what to measure.
• Embed within product engineering squads to provide strategic analytical support, conduct analyses to better understand traveller needs and behaviours.
• You have proven experience in data analytics within product engineering environments, including close collaboration with Product Managers to define feature measurement frameworks
• You're fluent in behavioural analytics platforms, and you also know your way around Google Analytics
• You have the ability to apply a product-oriented mindset to analytics and challenge product strategy constructively, using data-driven perspectives to influence decision-making while building trust and effective cross-functional collaboration
• You're experienced in designing and delivering meaningful A/B tests using experimentation platforms such as GrowthBook or Optimizely, with a strong understanding of sample sizing, novelty effects, and segmentation
• You're previously worked in AI-native development environments, with extensive day-to-day use of agentic coding tools such as Claude Code and Codex as a core part of the engineering workflow
• Bonus points: You have experience with dbt and data modelling. You'll be working closely with our data team on the curation pipeline that feeds our AI data products
• You are proficient in SQL, including the ability to clean, extract, and manipulate data