ppAirHelp is a general travel tech company on a mission to make every journey smoother. We built our name helping millions of travellers claim the flight compensation they're owed – and that's now the foundation of a broader platform of travel protection and convenience products spanning the entire journey. 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. /p pWe're looking for a Senior Product Data 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. /p pThis 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. /p pThis is a hybrid job opportunity in Barcelona, Warsaw or Gdańsk. /p h3Salary /h3 ul liWarsaw Gdańsk: bFull-time employee /b – 16,000 – 22,000 PLN gross/month. bContractor (B2B) /b – 18,000 – 25,000 PLN net + VAT/month. /li liBarcelona: €55,000 – €70,000 gross/year (employment contract). /li /ul h3What you’ll drive /h3 ul liEmbed 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. /li liConduct analyses to better understand traveller needs and behaviours across every stage of their journey.



/li liImprove AirHelp mobile app monetisation by identifying friction points in the claims submission journey and AirHelp Plus sales experience. /li liLead 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. /li liEnable 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. /li liPartner with engineers on event tracking, instrumentation, and data ingestion – making sure measurement is built into features from day one, not bolted on after launch. /li liDevelop deep funnel and cohort analysis across the customer lifecycle, surfacing insights that inform both day‑to‑day optimisation and longer‑term product strategy. /li liContribute to the analytics craft at AirHelp through systems thinking, knowledge sharing, and raising the bar for how data is used across product teams. /li /ul h3What you’ll deliver in your first 12 months /h3 ul liDrive a measurable increase in AirHelp mobile app monetisation, growing claim submission share to at least 15% with experimentation as the primary lever. /li liBuild understanding of how engagement with the app while traveling contributes to additional user actions. /li liImprove AirHelp Plus conversion and retention to enable revenue growth in B2C (aiming at 30% YoY growth), with a clear analytical narrative behind every gain. /li liStand up a robust experimentation practice across at least three product squads – with shared standards for hypothesis design, sample sizing,



and result interpretation. /li liDeliver a clean, well‑documented event taxonomy and data model that powers both product analytics and our AI‑driven product. /li liEnable Product Managers to self‑serve the majority of their analytical questions through AI‑powered workflows, freeing analyst time for higher‑leverage strategic work. /li liEstablish yourself as the analytical partner of choice within your product tribes – trusted to challenge direction, frame problems, and shape roadmaps with data. /li /ul h3Requirements /h3 ul liProven experience in data analytics within product engineering environments. /li liProficient in SQL, including the ability to clean, extract, and manipulate data. /li liFluent in behavioural analytics platforms and Google Analytics. /li liExperienced in designing and delivering meaningful A/B tests in product environments, with a strong understanding of sample sizing, novelty effects, and segmentation. /li liExperience working in AI‑native development environments, with extensive day‑to‑day use of agentic coding tools such as Claude Code and Codex as part of the engineering workflow. /li liExperience collaborating with Product Managers and engineers to define feature measurement frameworks and measurement strategy. /li liEligible to work in Spain or Poland. /li liBonus: Experience with dbt or data modeling. /li /ul h3Benefits /h3 ul liCulture of Autonomy: No micromanagement, no politics. Just builders building. /li liGrowth Investment: Personal development plans, internal workshops, mentorship, and language classes. /li liCulture That Cares: Team events, supportive peers, and a mission you can feel proud of. /li liFlexible Benefits: Choose between gym pass, personal development, childcare, transport, or travel subsidies. /li liGlobal Workstyle: Work from anywhere for up to 2 weeks/year, because we know the best ideas come from seeing the world. /li /ul /p #J-18808-Ljbffr

📌 Senior Product Data Analyst (Barcelona)
🏢 Airhelp
📍 Barcelona