Responsibilities

• Partner with regional marketing and media teams to define measurement priorities, establish KPIs, build learning agendas, and align measurement approaches with business objectives.
• Develop structured testing roadmaps across channels and campaigns, selecting the most appropriate methodologies based on the business question, available budget, and data availability.
• Design and support measurement programs including incrementality testing, geo holdouts, brand lift studies, media mix modeling (MMM), and other experimental approaches.
• Collaborate across teams to implement measurement plans, monitor progress, and ensure findings are translated into clear, actionable recommendations.
• Translate complex analyses into compelling narratives that connect marketing performance to business outcomes and inform future investment decisions.
• Partner with external analytics agencies and measurement vendors to define data requirements, ensure successful delivery of data inputs, and support the execution of measurement studies.
• Own the day-to-day management and analysis of KAYAK's global brand tracking program, including vendor coordination, study implementation, and insight generation.
• Monitor key marketing and business performance indicators, identifying trends, opportunities, and risks across markets.
• Conduct analyses to support strategic decision-making, annual planning, performance diagnosis, audience understanding, and investment optimization.
• Contribute to the evolution of KAYAK's measurement framework by identifying new methodologies, tools, and opportunities to improve how we understand marketing effectiveness.

Requirements

• 4–6 years of experience in marketing analytics, measurement, paid media, strategy, or a related analytical function — ideally within a consumer technology, travel, or digital-first environment; equivalent experience, training, or transferable skills are also considered.
• Experience evaluating and optimizing marketing performance across digital and/or offline media channels.
• Familiarity with marketing measurement approaches such as incrementality testing, attribution, brand lift studies, or media mix modeling.
• Demonstrated ability to use data and analysis to influence business decisions and improve marketing performance.
• Proficiency in Excel and SQL for data analysis; experience with Python is a plus.
• Familiarity with marketing and analytics platforms such as Google Analytics, Adjust, Meta Ads Manager, Google Ads, or similar tools.
• Experience with data visualization tools such as Looker, Tableau, Power BI, or Google Data Studio.
• Strong organizational skills with the ability to manage multiple projects simultaneously.
• Clear, confident communication skills — you can explain complex analytical concepts to both technical and non-technical audiences.
• A curious, collaborative mindset and a genuine interest in continuously improving how marketing effectiveness is measured and understood.
• Experience working with external agencies, research vendors, or measurement partners is a plus.

Preferred

• Experience with Python

Benefits

• 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: