Role Description:
The role is based in Amsterdam
Booking.com's Marketplace Department turns travel goals into travel realities. Our purpose? To create frictionless experiences at each and every stage of the trip. From browsing to booking and beyond, our focus is on building the connected experiences which make journeys smoother, faster and more enjoyable. Think of us as travel matchmakers, ensuring seamless integration across our product verticals to effortlessly and intuitively connect traveler preferences and actions.
Key Job Responsibilities and Duties:
Lead user research efforts to deeply understand our customers’ needs and behaviors, informing our design and business decisions. You’ll collaborate with cross-functional teams to create meaningful and data-driven experiences across all of Booking.com’s products, from accommodations to transportation.
Lead research projects to gather deep insights about user behaviors and preferences through a mix of qualitative and quantitative research methods.
Translate research findings into actionable insights that inform product strategy, design decisions, and business direction.
Collaborate closely with UX designers, product managers, and engineers to integrate user-centered thinking throughout the development process.
Advocate for user needs by clearly communicating research findings and recommendations to a wide range of stakeholders.
Drive innovation by finding opportunities for new product and feature development based on user insights.
Qualifications & Skills:
7+ years of experience in quantitative research, data analysis, or a similar role, with a proven track record of leading complex research projects, ideally with a focus on consumer-facing products and services.
Expertise in both qualitative and quantitative research methods, including user interviews, surveys, usability testing, and data analysis.
Required data analysis experience using SQL or Python to interpret complex datasets, derive insights, and enable data-driven decision-making. Advanced knowledge of either SQL or Python is mandatory.
Lead complex quantitative research projects, applying statistical methods, mathematical modeling, and econometric techniques to analyze large datasets.
Proven ability to translate research findings into clear, actionable recommendations.
Strong collaboration influence, presentation, and negotiation skills and the ability to influence stakeholders across different functions.
A passion for understanding user needs and behaviors, with a focus on creating delightful experiences.
Experience working in fast-paced, international environments is a plus.
Bachelor’s or Master’s Degree in Human-Computer Interaction, Cognitive Science, Psychology, or a related field.
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
A breathtaking sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office
Commuting allowance and bike reimbursement scheme
Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Application Process
- Let’s go places together:
- The role will entail a total of 3 interviews.
- This role does not come with relocation assistance.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
