Senior Data Analyst - Global CS

Job description

At, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

With over 1.6 million room nights booked every day, accommodation represents the largest share of our business to date. Our mission is to deliver the best customer experience and the most varied selection of properties.

At we combine the best traits of a start-up with the resources of planet Earth’s #1 accommodation website. We are working towards creating the ultimate travel experience, building and improving great products for both travelers and the accommodation partners.


Senior Data Analysts are the craft leaders and point of reference for analytics resources such as reporting, visualisation and analysis needs within their area. They have a deep understanding of business problems, and adopt a customer lens and problem solving approach through timely analytics. They are able to use their experience and expertise to work with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience.

Senior Data Analysts are able to manage stakeholders autonomously based on their experience and practical understanding of concepts by prioritising business impact, efficiently adapting to business needs, and managing expectations accordingly. They can use their expertise with data, workflows, methods and tooling to autonomously drive analysis and reporting within their scope. They can find opportunities to apply new concepts and approaches based on business and user needs, and make their solutions scalable, reproducible and long-term focused.

As a senior in their craft they collaborate and coach peers, support initiatives for data quality and stability, and contribute to the growth of through interviewing and onboarding.

Important aspects of the job include:

  • Draw on personal experience to independently translate business problems into data stories
  • Identify, maintain, and drive opportunities for key reports, metrics and workflows
  • Manage and communicate with stakeholders clearly and effectively, by using presentation and storytelling skills that adapt to different audiences
  • Communicate effectively and collaboratively, and challenge constructively, to create rapport and establish trust.
  • Actively participate and drive team activities, and suggest ways of achieving objectives (standup, planning meeting, retrospectives)
  • Network, proactively connect, and coach craft peers beyond the team scope
  • Use expertise on data analysis and visualisation to answer business questions in the most efficient way
  • Ensure scalability, reproducibility and long term orientation
  • Collaborate, give and receive feedback with peers and direct stakeholders
  • Propose and spot opportunities to apply new approaches, expanding technical competencies when a more efficient way presents itself
  • Build significant deep knowledge about the operational, tactical and strategic workings of the department. Maintain a main focus on business and technical opportunities.

We have found that people who match the following requirements are the ones who fit us best:

  • 3-5 years experience
  • Driven and results oriented personality
  • Open to feedback and always looking for ways to improve own performance
  • Able to understand details while keeping an eye on the bigger picture.
  • Able to spot opportunities to drive business growth from their craft.
  • Analytical and curious mindset
  • Strong interpersonal skills
  • Open and friendly attitude
  • Expertise and experience on data analysis.
  • Expertise in data management, data visualisation and quality.
  • Expertise with at least one data analysis language (e.g: R, SQL, Python)
  • Awareness of the experimentation process and results interpretation
  • Awareness of statistical models used within their scope


  • Living and working in Amsterdam, one of the most cosmopolitan cities in Europe once the offices are open.
  • Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
  • Working in a fast-paced and performance driven culture
  • Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
  • Promote and drive impactful and innovative engineering solutions
  • Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
  • Competitive compensation and benefits package and some great added perks of working in the home city of

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 open position at

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