KAYAK
Travel & HospitalityDirect Ashby career site

Analyst, Commercial Analytics

Pay
$90,000 – $105,000 per year
Location
Cambridge, MA (Remote)
Job type
Full-time
Level
Mid-level
Experience
2+ years
Listed
23 days ago

Skills & highlights for this role

  • SQL
  • data visualization
  • Looker
  • Tableau
  • data storytelling

Also useful

  • Python
  • R
  • Trino
  • Vertica

Stated benefits & perks

  • Health
  • Retirement
  • Parental leave
  • Pto

About the role

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
  • 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.

Benefits

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.

Inclusion

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

Read the original posting

From KAYAK's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Analyst, Commercial Analytics role at KAYAK, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

What is the salary for the Analyst, Commercial Analytics role at KAYAK?

The Analyst, Commercial Analytics posting at KAYAK states compensation of $90,000 – $105,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on KAYAK's official career site.

Where is the Analyst, Commercial Analytics job at KAYAK located?

Yes, this Analyst, Commercial Analytics opening at KAYAK is listed as Cambridge, MA (Remote). Always check KAYAK's application page for specific state eligibility or relocation policies.

What qualifications are required for Analyst, Commercial Analytics at KAYAK?

For the Analyst, Commercial Analytics role, KAYAK highlights 2+ years of relevant experience; experience with SQL, data visualization, Looker, Tableau, data storytelling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Analyst, Commercial Analytics position at KAYAK?

This listing links directly to KAYAK's Ashby application page. You can apply directly on KAYAK's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.