# Analyst, Commercial Analytics at Kayak

Kayak is hiring an Analyst, Commercial Analytics in Cambridge, United Kingdom. It pays $90k-$105k a year and Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/5d5c17fd-f261-40ec-9488-ad45e07823fd?utm_medium=ai-agent).

AI Level 1, AI centrality 19 out of 100. Remote (Cambridge Office).

## Details

- Company: [Kayak](https://jobsbylevel.com/companies/kayak)
- AI level: AI Level 1 (score 19 out of 100)
- Location: Remote (Cambridge Office)
- Salary: $90k-$105k
- Posted: October 12, 2026
- Apply: https://jobsbylevel.com/go/5d5c17fd-f261-40ec-9488-ad45e07823fd?utm_medium=ai-agent

## Description

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. In this role, you will: 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. Please apply if you have: 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 To stand out, you also have: 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). Benefits and Perks: Work from (almost) anywhere for up to 20 days per year Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth Company-paid subscription to HeadSpace Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) No meeting Fridays Paid parental leave Generous paid vacation + time off for your birthday Paid volunteer time

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/analyst-commercial-analytics-at-kayak-17b71a

Source: https://jobsbylevel.com/jobs/analyst-commercial-analytics-at-kayak-17b71a

## Cite this page

Level. https://jobsbylevel.com/jobs/analyst-commercial-analytics-at-kayak-17b71a.

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