Analyst, Commercial Analytics

KAYAK•Cambridge, MA

2d•$90,000 - $105,000•Hybrid

About The Position

KAYAK, part of Booking Holdings, is a leading travel search engine that helps people find flights, stays, rental cars, and vacation packages. They are also developing a corporate travel solution called KAYAK for Business. As part of a global company with multiple travel brands, KAYAK emphasizes innovation and provides opportunities for employees to make an impact. The Commercial Analytics team plays a crucial role in leveraging data to support revenue decisions across various travel verticals. This role requires working from the Cambridge, MA office at least 3 days per week.

Requirements

At least 2 years of experience working with data in an analytical, business intelligence, operations, or similar role (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.

Nice To Haves

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).

Responsibilities

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.

Benefits

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Development Dollars
Leadership development
Access to thousands of on-demand e-learnings
Travel Discounts
Employee Resource Groups
Competitive retirement and health plans
Free lunch 2 days per week
Fun quarterly events such as boat trips, arcades, ski trips, Thursday socials, and more
health benefits
flexible spending account
retirement benefits
life insurance
paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays)
parental leave benefits
Annual bonus eligibility