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Analyst, Commercial Analytics

Cambridge Office · Cambridge, Massachusetts, United States

Live, first seen by us 22 days ago
Pay
$90,000–105,000/yearAnnual period assumed. Location-specific pay — pay source
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.
Read the full posting
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Cost Centers › Technology › Data — team source
Department: Cost Centers › Technology › Data
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

Benefits in the posting

Full benefits wording
  • Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • 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
  • 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

From the employer’s posting.

Apply at KAYAK

Posting record

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Status in our records
Live
First seen by us
Oct 13, 202622 days ago
Recorded sightings
23
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

KAYAK is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • Python
  • R
  • SQL
  • Looker
  • Power BI
  • Superset
  • Tableau
  • Trino
Where the posting names them
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:

Your next step

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Has KAYAK posted this job before?

Yes. We’ve followed 2 other Analyst, Commercial Analytics jobs there since June 2026. 2 came down, usually after about 2 days.

  1. LondonCame down after 2 days, first seen Jun 2
  2. CambridgeCame down after 2 days, first seen Jun 2
  3. This jobUp 22 days so far, first seen Oct 13

About the role

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.

Job description

View original posting ↗

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.

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

Source details

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Pay
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.
Location & working pattern

Cambridge, Massachusetts, United States

Working pattern and location restrictions need checking in the full posting.

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