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# Data Scientist II, Product & Technology Analytics

- **Company:** Expedia Group
- **Location:** Madrid, Spain
- **Salary:** €43,000.0 - €60,500.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, A/B Testing, Data Analysis, Data Visualization, Google Analytics, Statistical Hypothesis Testing, Python (Programming Language), Standard Sql, Tableau (Software), Web Analytics, Data Analytics, Drilldown
- **Published:** November 7, 2026
- **Apply:** https://www.adzuna.es/details/5955774992

## About the Role

* You have at least 2+ years of analytical experience in a data-rich commercial environment such as online travel, e-commerce, or banking.
 * You're a strong communicator, capable of translating complex analyses into easily understandable insights for diverse audiences.
 * You're proficient in SQL, with the ability to write queries from scratch, find relevant data, and interpret existing code.
 * You're proficient in web analytics, with the ability to use web analytics tools such as Google analytics or Adobe Analytics.
 * You're experienced with data visualization tools like Tableau, enabling you to create compelling and insightful dashboards.
 * Experience evaluating product impact using experimentation frameworks and causal inference methods (e.g., A/B testing, quasi-experiments).
 * You're a collaborative team player with a proven track record of delivering data-driven insights and recommendations that have driven positive change.
 * Python is a nice to have!

## Description

driving strategic initiatives and unearthing valuable insights to fuel our growth. This role offers the exciting opportunity to influence product development, optimize commercial performance, and collaborate with cross-functional teams to impact our bottom line, all while working on cutting-edge challenges in the dynamic intersection of technology and travel. In this role, you will:

 * Drive impactful insights:*Perform deep-dive analysis and statistical tests to uncover key performance drivers for our partners, translating findings into actionable recommendations.
 * Transform data into value:*Extract, transform, and combine data from diverse sources to build robust models and analyses.
 * Translate business needs into analytical solutions:*Collaborate with stakeholders to define and scope analytical requests, framing business problems into solvable analytical tasks.
 * Visualize and communicate data stories:*Create clear, compelling visualizations that translate data into meaningful insights and drive data-driven decision-making.
 * Develop and maintain scalable reporting:*Automate frequent reporting tasks by building scalable dashboards that provide ongoing performance visibility.
 * Build business cases with data:*Develop data-driven business cases to support stakeholder goals and strategic initiatives.