Data analyst in fintech

Booking; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Generous leave

Booking.com discounts

Up to 20 days abroad per year

Job summary

Booking.com is seeking a Data Analyst I in Amsterdam to transform business questions into practical analytical solutions that improve partner payments experiences and adoption of payment solutions.

You will design analytics components, prepare data for analysis, and define metrics with cross-functional teams. The role emphasizes independence, collaboration, and continuous improvement in a fast-paced FinTech environment.

Qualifications

• 2-3 years of professional experience in a similar data analytics role.
• Ability to translate business questions into analytical solutions and data stories.
• Proven attention to detail and ability to work independently while collaborating with teams.

Responsibilities

• Design and deliver parts of data analytics solutions based on business requirements.
• Consume and prepare data for analysis, translating business problems to data stories.
• Define and drive reliable metrics with the business and validate work through peer reviews.
• Collaborate with Data Engineering and other partners to ensure successful outcomes.

Skills

SQL

Python

Analytical thinking

Tools

Tableau

Job description

The Partner Payments Analytics team is part of the FinTech Business Unit. As a Data Analyst I, you’ll use data to understand and improve Booking.com partners’ experience and help grow adoption of payment solutions. You’ll partner with FinTech teams to define business problems, establish the right metrics and turn findings into clear, actionable recommendations. We’re looking for a motivated and data-driven individual with strong attention to detail, who can translate business questions into practical analytical solutions and communicate insights clearly to diverse audiences.

• Design and deliver parts of data analytics solutions based on business requirements.
• Work independently on consuming data, preparing it for analytical use and translating business problems to data stories.
• Driving the implementation of reliable and well trusted metrics defined by the business.
• Ensuring quality of their own work by validating it through peer review.
• Connecting with peers in related crafts (e.g. Data Engineering) as needed on specific projects to ensure successful outcomes.
• Contribute to knowledge sharing and the wider Data Analytics community.
• 2-3 years of professional experience in a similar role
• Driven and results-oriented personality.
• Ability to translate business problems into analytical approaches.
• Open to feedback and always looking for ways to improve performance.
• Able to understand details while keeping an eye on the bigger picture.
• Ability to work independently while seeking guidance for complex tasks.
• A collaborative mindset and willingness to develop your technical skills.
• Minimum of 2 years of experience in a data or software adjacent field, working with systems and data infrastructure at scale.
• Proficiency in data analysis languages (e.g., SQL, Python) and visualization tools (e.g., Tableau).
• We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers 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, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
• Need more flexibility in your work week? We are happy to consider part-time, and reduced working week opportunities* (min. 32 hours per week, subject to terms and conditions)
• This role does not come with relocation assistance.