Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Aug 29, 2026.
Join Tiqets, a fast-growing company in the travel industry, as a Senior Data Analyst. In this high-visibility role, you will lead the end-to-end analytics lifecycle for your domain, partnering with engineers and product managers to define data requirements, architect core warehousing layers, and transform complex datasets into impactful dashboards. You will tackle diverse challenges, influence the roadmap, build for scale, and mentor others on the team. Enjoy a competitive salary, a vibrant work environment in Amsterdam, and various benefits including a learning academy, sports activities, and a 20% employee discount for exploring museums and venues worldwide.
Missions
- Lead the end-to-end analytics lifecycle for your domain, partnering with engineers to define data requirements and architect the core warehousing layers.
- Design and implement data models with SQL in DBT, and build explores and dashboards in Looker to allow others at the company to ask the right data questions.
- Collaborate closely with Product Managers, Engineers, and Business Teams to tackle diverse problems, influence the roadmap, and ensure robust data infrastructure.
Profil recherché
- If you are passionate about Data, enjoy working on challenging business problems in a fast-moving environment, and believe in the importance of teamwork, this is the right opening for you- Experience building reports on BI tools like Looker or Tableau
- Excellent oral and written communication skills; Ability to clearly explain concepts and actionable insights
- Technical or mathematical education at a Bachelor's or Master's level
- Min. 5 years of experience in Data Analyst roles
- Capacity to thrive in a startup/scale-up environment, adapt quickly, work independently, and take ownership of your work
- Strong SQL skills; Experience working with a modern Data Warehouse like Redshift, Snowflake, or Databricks
- Experience with DBT
- Nice to have: prior experience in e-commerce with a background in hypothesis-driven A/B Testing

