Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
BI @ 3
Communication @ 3
Data Analysis @ 3
Data Engineering
Data Visualization @ 3
Power BI @ 3
Python @ 3
R @ 3
SQL @ 3
Tableau @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Data Analysts II drive analytics tasks including reporting, visualization, and analysis within their area. They understand business problems, collaborate with stakeholders, and use data insights and effective communication to support business decisions. They independently manage analytics work within their team, deliver scalable and reproducible solutions, mentor junior colleagues, and follow best practices for data quality and stability.
Responsibilities
- Own the design and delivery of complete Data Analytics solutions based on business requirements, from initial idea generation through independent implementation.
- Consume and prepare data for analytical use, translate business problems into data stories, and determine appropriate technical solutions in collaboration with stakeholders.
- Deliver work that informs product or business decisions within the scope of the team, occasionally collaborating across multiple teams.
- Apply data analysis and data visualization expertise to answer business questions efficiently.
- Create intuitive and insightful visualizations that translate data into actionable insights.
- Identify and manage operational, project-based, and managerial stakeholders, communicate clearly, address stakeholder needs, and explain complex analysis results.
- Guide junior colleagues in stakeholder engagement and mentor junior peers through coaching and best practices.
- Adopt existing internal and external Data Analytics approaches, propose new approaches, and expand the technical competencies of peers.
- Apply Data Analytics to create business impact while incorporating scalability, reproducibility, and long-term orientation.
- Contribute to community projects, recruitment activities, and other initiatives that improve the effectiveness of data professionals.
- Maintain knowledge of Booking's wider data ecosystem and how it relates to the role.
- Collaborate with related disciplines, including Data Engineering, and anticipate data needs to ensure project progress.
- Understand the operational, tactical, and strategic goals of the relevant track or vertical and the wider business unit.
- Validate work through peer review and influence business decisions within the relevant product team.
Requirements
- Results-oriented and driven personality.
- Openness to feedback and continuous improvement.
- Ability to understand details while maintaining a broader perspective.
- Ability to identify opportunities to drive business growth through data analytics.
- Analytical and curious mindset.
- Strong interpersonal skills and an open, friendly attitude.
- Expertise and experience in data analysis.
- Expertise in data management, data visualization, and data quality.
- Expertise with data analysis and visualization tools such as Tableau, Data Studio, Power BI, and Mixpanel.
- Expertise with at least one data analysis language, such as R, SQL, or Python.
Contract Details
- Location: Amsterdam, Netherlands
- Hours: 40 hours per week
- Timeline: 3 months, from October 27, 2026, to January 26, 2027
- Pay rate: €45–€98 per hour
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