Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Cambridge Office · Cambridge, Massachusetts, United States
Live, first seen by us 22 days agoFun quarterly events such as boat trips, arcades, ski trips, Thursday socials, and more There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this Massachusetts-based role is $90,000-$105,000. We offer a competitive base salary and benefits including: 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); and parental leave benefits. This role is eligible to be considered for an annual bonus.Read the full posting
Location type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Cost Centers › Technology › DataFrom the employer’s posting
Do you now, or will you in the future, need US visa sponsorship? Note: we are unable to offer work sponsorship (including OPT) at this time.From the employer’s application form
Analyze commercial datasets to spot trends and performance drivers across verticals
Build and maintain dashboards and reports for commercial teams
Respond to ad-hoc data and analysis requests from commercial teams
Monitor data accuracy and troubleshoot discrepancies in reporting
Define KPIs and build forecasting and goal-setting models
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
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
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 22
Similar jobs usually come down between day 5 and day 41.
From 10,707 similar postings that came down. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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
- 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)
- 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
- Experience working with AI or agentic analytics tools - Exposure to large-scale data warehouse environments (e.g., Trino, Vertica, or similar). Benefits and Perks:
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Analyst, Commercial Analytics jobs there since June 2026. 2 came down, usually after about 2 days.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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).
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
Focus on your career growth:
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
There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this Massachusetts-based role is $90,000-$105,000.
We offer a competitive base salary and benefits including: 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); and parental leave benefits. This role is eligible to be considered for an annual bonus.
At 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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Fun quarterly events such as boat trips, arcades, ski trips, Thursday socials, and more There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this Massachusetts-based role is $90,000-$105,000. We offer a competitive base salary and benefits including: 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); and parental leave benefits. This role is eligible to be considered for an annual bonus.
Cambridge, Massachusetts, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.