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Salary: USD 90,000 - 105,000 / annual
KAYAK, part of Booking Holdings, is the world's leading travel search engine. The Commercial Analytics team sits at the center of data-driven decision-making across the company's global portfolio of travel metasearch brands (including momondo, Cheapflights, and HotelsCombined). As an Analyst on this globally distributed team, you will transform commercial data into actionable insights that directly support revenue decisions across flights, hotels, cars, and advertising.
You will analyze commercial datasets to identify trends, opportunities, and performance drivers across travel verticals. You'll build and maintain dashboards and reports using data visualization tools to give commercial teams timely visibility into business performance. You'll respond to ad-hoc analysis requests, monitor data accuracy, troubleshoot discrepancies, and maintain reporting reliability across existing data sources.
Key responsibilities include defining and documenting KPIs in collaboration with commercial teams, building models to support forecasting and goal-setting, and collaborating with data engineering and business intelligence colleagues to ensure data quality. You'll contribute to global analytics projects such as inventory forecasting, partner-facing reporting tools, and AI-assisted analytics solutions. You'll present findings and recommendations clearly to both technical and non-technical audiences, including senior commercial leaders.
The role is based in Cambridge, MA and requires in-office presence at least 3 days per week. You'll work with a globally distributed team across North America, Europe, Latin America, and Asia-Pacific.
REQUIREMENTS:
- At least 2 years of experience working with data in an analytical, business intelligence, operations, or similar role (demonstrated ability and transferable skills valued; equivalent experience, training, or self-directed learning considered)
- At least 2 years of hands-on SQL experience, writing queries to explore and manipulate large datasets
- Hands-on experience with at least one data visualization or reporting tool (Looker, Tableau, Superset, Power BI, or comparable platform)
- Ability to communicate data findings clearly to people with varying levels of technical background, including in written summaries and presentations
- Curiosity, attention to detail, and enjoyment of working through ambiguous problems using data
- Comfort working in a global, cross-functional environment with colleagues across multiple time zones
PREFERRED QUALIFICATIONS:
- Experience with Python or R for data manipulation, automation, or modeling
- Familiarity with the travel, e-commerce, or digital advertising industry
- Experience working with AI or agentic analytics tools
- Exposure to large-scale data warehouse environments (Trino, Vertica, or similar)
