Data Analyst I

TL;DR

Data Analyst I (Data Analytics): Driving data-informed decision-making for the Central Tech Analytics Team with an accent on reporting, visualization, and translating complex business problems into actionable data stories. Focus on building robust analytical solutions, collaborating with engineering stakeholders, and ensuring high data quality within a large-scale infrastructure.

Location: Must be based in Amsterdam, Netherlands (Hybrid role).

Company

A global leader in travel technology, dedicated to making it easier for everyone to experience the world through innovative products and data-driven insights.

What you will do

• Design and deliver data analytics solutions from idea generation to implementation.
• Prepare and transform data for analytical use, translating business requirements into clear data stories.
• Create intuitive visualizations that provide actionable insights for product and business stakeholders.
• Collaborate with cross-functional partners, including Data Engineering, to ensure successful outcomes.
• Validate work through peer reviews to maintain high standards of data quality and stability.
• Communicate complex analytical findings in an accessible, business-friendly manner.

Requirements

• Minimum 2 years of experience in a data or software-adjacent field working with systems at scale.
• Proficiency in SQL and Python for data analysis.
• Experience with visualization tools such as Tableau or Power BI.
• Independent experience with ETL/ELT methodologies and relational databases.
• Strong ability to work independently in an ambiguous environment.
• Experience working with stakeholders in a technical or engineering-heavy environment.

Culture & Benefits

• Hybrid working model with flexibility and up to 20 days per year working from abroad.
• Generous paid leave scheme including parent, grandparent, bereavement, and care leave.
• Industry-leading product discounts up to 1400 per year, including Genius Level 3 status.
• Inclusive, diverse workplace representing over 140 nationalities.
• Commitment to professional growth and data-driven innovation.