Analyst, Commercial Analytics
Quick Summary
At least 2 years of experience working with data in an analytical, business intelligence, operations, or similar role — we value demonstrated ability and transferable skills;
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business.
As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.
At KAYAK, data is how we make better decisions for travelers and partners alike — and the Commercial Analytics team is at the center of that work. As an Analyst on this globally distributed team, you'll help turn commercial data into clear, actionable insights that directly support revenue decisions across flights, hotels, cars, and advertising, working closely with colleagues across North America, Europe, Latin America, and Asia-Pacific.
This role will be required to work from our Cambridge, MA office at least 3 days per week.
Analyze commercial datasets to identify trends, opportunities, and performance drivers across travel verticals including flights, hotels, cars, and advertising
Build and maintain dashboards and reports using data visualization and reporting tools to give commercial teams timely visibility into business performance
Respond to ad-hoc data and analysis requests from commercial teams
Monitor data accuracy, troubleshoot discrepancies, and maintain reporting reliability across existing data sources
Define and document key performance indicators (KPIs) in collaboration with commercial teams, and build models to support forecasting and goal-setting
Collaborate with data engineering and business intelligence colleagues to ensure data quality and translate commercial reporting needs into technical requirements
Contribute to global analytics projects such as inventory forecasting, partner-facing reporting tools, and the development of AI-assisted analytics solutions
Present findings and recommendations clearly to both technical and non-technical audiences, including senior commercial leaders.
At least 2 years of experience working with data in an analytical, business intelligence, operations, or similar role — we value demonstrated ability and transferable skills; equivalent experience, training, or self-directed learning is 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 (e.g., Looker, Tableau, Superset, Power BI, or a comparable platform)
The 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 an enjoyment of working through ambiguous problems using data
Comfort working in a global, cross-functional environment with colleagues across multiple time zones
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 (e.g., Trino, Vertica, or similar).
What We Offer
~1 min readAt KAYAK, we want everyone to have the space to grow, share ideas and do great work. That’s why we’re focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here.
Need an accommodation for the interview, application or on the job? No problem - just give us a heads-up. We’ve got you.
#LI-AC1
Location & Eligibility
About this job
- Pay per year
- $90,000–$105,000 a year
- 31% below the $141,900 median for Analytics jobs on Jobera (473 salaries).
- Posted
- 3 days ago
Listing Details
- Posted
- October 12, 2026
- First seen
- October 12, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 2
- Repost count
- 1
- Trust Level
- 64%
- Scored at
- October 15, 2026
Signal breakdown
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