Analyst, Commercial Analytics

KAYAK

. Analyze commercial datasets to identify trends, opportunities, and performance drivers across flights, hotels, cars, and advertising .

Posted 10/12/2026full-timeCambridge • Massachusetts • United StatesJuniorMid-Level💰 $90,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, visualization, and reporting, with a strong ability to communicate findings to diverse audiences. Proficient in SQL and familiar with data visualization tools, contributing to global analytics projects and ensuring data quality.

Highest-signal resume keywords

SQL Query WritingData Visualization ToolsData AnalysisKPI DefinitionCollaboration with Cross-Functional Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQL Query WritingData VisualizationModel BuildingForecastingData ManipulationReportingTroubleshootingKPI DefinitionAI-Assisted Analytics

Soft Skills

CommunicationAttention to DetailCuriosityProblem-SolvingCollaboration

Tools & Technologies

LookerTableauSupersetPower BIPythonRTrinoVertica

Industry Keywords

Travel IndustryE-CommerceDigital AdvertisingBusiness IntelligenceAnalytics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze commercial datasets to identify trends, opportunities, and performance drivers across 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 KPIs with commercial teams
Build models to support forecasting and goal-setting
Collaborate with data engineering and business intelligence colleagues to ensure data quality
Translate commercial reporting needs into technical requirements
Contribute to global analytics projects, including inventory forecasting, partner-facing reporting tools, and AI-assisted analytics solutions
Present findings and recommendations to technical and non-technical audiences, including senior commercial leaders

Requirements

What you’ll need

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, such as Looker, Tableau, Superset, Power BI, or a comparable platform
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 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 is an advantage
Familiarity with the travel, e-commerce, or digital advertising industry is an advantage
Experience working with AI or agentic analytics tools is an advantage
Exposure to large-scale data warehouse environments, such as Trino or Vertica, is an advantage
Must be able to work from the Cambridge, MA office at least 3 days per week
Must be able to work in the United States without visa sponsorship; the company is unable to offer work sponsorship, including OPT

Benefits

Comp & perks

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 and 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
Eligible to be considered for an annual bonus