Commercial Analytics Analyst

KAYAK; United States; Hybrid; USD 70,000 - 110,000; Full time

Job summary

KAYAK is seeking an Analytics Analyst to translate commercial data into actionable insights that support revenue decisions across flights, hotels, cars, and advertising. You will work with teams across North America, Europe, Latin America, and Asia‑Pacific.

You will build and maintain dashboards, answer ad‑hoc data requests, ensure data quality, define KPIs, and support forecasting. Present findings to senior leaders and collaborate with data engineering.

Qualifications

• At least 2 years of experience in an analytical, BI, operations, or similar role.
• Hands-on SQL experience writing queries to explore and manipulate large datasets
• Experience with data visualization/reporting tools (Looker/Tableau/Superset/Power BI)
• Ability to communicate data findings to audiences with varying technical backgrounds
• Curiosity and attention to detail in solving ambiguous problems with data
• Experience with Python or R for data manipulation/automation
• Familiarity with travel, e-commerce, or digital advertising industry
• Experience with AI or agentic analytics tools

Responsibilities

• Analyze commercial datasets to identify trends, opportunities and drivers across travel verticals.
• Build and maintain dashboards and reports to provide visibility into business performance.
• Respond to ad-hoc data and analysis requests from commercial teams.
• Monitor data accuracy and troubleshoot discrepancies across data sources.
• Define and document KPIs and build models to support forecasting and goal setting.
• Collaborate with data engineering/BI to translate reporting needs into technical requirements.
• Contribute to global analytics projects such as inventory forecasting and partner-facing reporting tools.
• Present findings and recommendations to technical and non-technical audiences, including senior leaders.

Skills

Data analysis

SQL

Data visualization

Communication

Python or R

AI analytics tools

Cross-functional collaboration

Travel/e-commerce familiarity

Attention to detail

Tools

Looker

Tableau

Superset

Power BI

Python

R

Trino

Vertica

AI analytics tools

Job description

• 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
• 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

Benefits

• Work flexibly: Our global flexible work policy lets our teams decide if they head into one of our offices or work from anywhere else
• Team-wide time off: Most of our team disconnects at the same time each year to recharge and reconnect
• Global volunteer week: Take VTO (Volunteer Time Off) to support the organizations and charitable efforts you believe in
• Wellness: We take care of each other - providing opportunities and spaces to live that work-life balance
• Resource groups: Our five ERGs are employee-led groups for underrepresented communities and their allies
• Career growth: We provide opportunities for our team to develop their skills – or learn new ones – on their own terms

• 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
• Comfort working in a global, cross-functional environment with colleagues across multiple time zones
• 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
• 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)