HBX Group is the world's leading technology partner, connecting and empowering the world of travel. We're game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none. In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our 'global approach, local touch' mentality. We're headquartered in Palma, Mallorca and employ around 3,500 people worldwide. We are looking for a data-driven and commercially minded Data Analyst to join our Revenue Management team with a strong focus on airline pricing and metasearch distribution. You will work closely with pricing managers, distribution teams, and digital marketing to uncover insights that improve revenue, conversion, and competitiveness in highly dynamic markets.
Monitor pricing performance and competitiveness across metasearch engines and OTAs.
Build and maintain dashboards that track key KPIs: fare positioning, click-through rates (CTR), cost of sale, booking conversion, and revenue per search.
Partner with pricing and inventory teams to recommend fare adjustments based on load factors, booking pace, and market intelligence.
Collaborate with digital distribution teams to optimize metasearch bid strategies and exposure algorithms.
Conduct attribution and channel-mix analysis to understand metasearch's impact on total revenue and direct vs indirect bookings.
2+ years of experience in pricing, revenue management, or data analytics in the airline or travel sector.
~ Strong SQL skills; proficiency with Python, R, or similar analytical tools is a plus.
~ Amadeus, Sabre) and airline pricing engines.
~ Familiarity with metasearch platforms and airline distribution models (NDC, direct connect, OTA APIs).
~ Strong visualization and reporting skills using Tableau, Power BI, or similar tools.
~ Ability to work cross-functionally with commercial, tech, and marketing teams.
Experience with real-time pricing data, web scraping, or fare benchmarking tools (e.g., Skyscanner API, AirFareIQ, Hopper).
Knowledge of machine learning or forecasting models applied to pricing and demand.
Understanding of digital marketing KPIs and cost-per-click (CPC) dynamics in metasearch bidding.
Airline or travel-tech background with exposure to both B2C and B2B distribution ecosystems.
You will have the opportunity to work for a company that is going through significant change in becoming the world ́s leading travel services provider.