# Senior Product Data Analyst **Company:** [AirHelp](http://jobs.workable.com/companies/3FhtpRSPGyvtXJKbENWWyg.md) **Location:** Barcelona, Spain **Workplace:** hybrid **Employment type:** Full-time **Department:** Engineering [Apply for this job](http://jobs.workable.com/view/7bd01fb5-7277-49a4-b26d-ce30a603126a) ## Description AirHelp is **a global tech company** specializing in air travel protection. So far, we have helped millions of travellers claim compensation for disrupted flights. As we scale our digital products, data-driven decision-making is becoming a core competitive advantage. We're investing in product analytics to ensure every product squad operates with sharp insight, rigorous experimentation, and AI-powered self-service. We're looking for a Senior Product Analyst to embed within our product-engineering tribes and drive measurable impact across three critical areas: **claims adoption on mobile, conversion funnel optimisation, and the growth and retention of our AH+ Subscription product**. You'll play a strategic role in shaping product direction with data, while also owning the data curation pipeline that powers our AI-driven data products. This role sits at the intersection of product strategy, experimentation, and AI-native ways of working. You won't just answer questions with data. Your task will be to challenge assumptions, define what to measure, and help product managers move faster through self-service analytics powered by AI. This is **a hybrid job** opportunity in Barcelona. Salary: **55,000 - 70,000 EUR** gross/annually on Employment contract. ### What you'll be working on: - Embed within product engineering squads to provide strategic analytical support, partnering closely with Product Managers and engineers to define hypotheses, measure feature performance, and inform product direction through data-driven insights. - Conduct analyses to better understand traveller needs and behaviours across every stage of their journey. - Improve AirHelp mobile app monetisation by identifying friction points in the claims submission journey and AirHelp Plus sales experience. - Lead the data curation process end-to-end by ensuring we capture, clean, and expose the right behavioural and transactional data to power internal downstream AI products. - Enable product self-service by collaborating with data engineers to build AI-powered analytics workflows that allow Product Managers to answer their own questions without analyst bottlenecks. - Partner with engineers on event tracking, instrumentation, and data ingestion - making sure measurement is built into features from day one, not bolted on after launch. - Develop deep funnel and cohort analysis across the customer lifecycle, surfacing insights that inform both day-to-day optimisation and longer-term product strategy. - Contribute to the analytics craft at AirHelp through systems thinking, knowledge sharing, and raising the bar for how data is used across product teams. ### What you’ll deliver in your first 12 months: - Drive a measurable increase in AirHelp mobile app monetization, growing claim submission share to at least 15% with experimentation as the primary lever. - Build understanding of how engagement with the app while traveling contributes to additional user actions. - Improve AirHelp Plus conversion and retention to enable revenue growth in B2C (aiming at 30% YoY growth), with a clear analytical narrative behind every gain. - Stand up a robust experimentation practice across at least three product squads - with shared standards for hypothesis design, sample sizing, and result interpretation. - Deliver a clean, well-documented event taxonomy and data model that powers both product analytics and our AI-driven product. - Enable Product Managers to self-serve the majority of their analytical questions through AI-powered workflows, freeing analyst time for higher-leverage strategic work. - Establish yourself as the analytical partner of choice within your product tribes - trusted to challenge direction, frame problems, and shape roadmaps with data. ### What sets you apart: - You have proven experience in data analytics within product engineering environments, including close collaboration with Product Managers to define feature measurement frameworks. - You are proficient in SQL, including the ability to clean, extract, and manipulate data. - You're fluent in behavioural analytics platforms, and you also know your way around Google Analytics. - 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. - 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. - 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. ### Why AirHelp: - Culture of Autonomy: No micromanagement, no politics. Just builders building. - Growth Investment: Personal development plans, internal workshops, mentorship, and language classes. - Culture That Cares: Team events, supportive peers, and a mission you can feel proud of. - Flexible Benefits: Choose between gym pass, personal development, childcare, transport, or travel subsidies. - Global Workstyle: Work from anywhere for up to 2 weeks/year, because we know the best ideas come from seeing the world.