Analyst, Commercial Analytics
Cambridge · USD 90,000-105,000 · 2+ years experience · Full-time · Hybrid · Posted Oct 12, 2026
At a glance
- Experience
- 2+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Cambridge
- Salary
- USD 90,000-105,000 · Base salary
About the role
- As an Analyst on the Commercial Analytics team, you will help turn commercial data into clear, actionable insights that directly support revenue decisions across flights, hotels, cars, and advertising.
- You will work closely with colleagues across North America, Europe, Latin America, and Asia-Pacific in a globally distributed team.
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.
Requirements
- At least 2 years of experience working with data in an analytical, business intelligence, operations, or similar role
- 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
Preferred qualifications
- 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
- 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
- Free lunch 2 days per week
Workplace
- Required to work from the Cambridge, MA office at least 3 days per week
Skills
- SQL
- Looker
- Tableau
- Superset
- Power BI
- Python
- R
- Trino
- Vertica
