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Product Analyst
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-10-15
Listing for:
Xebia Group
Full Time
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
Are you a data expert who loves turning user behavior into product decisions? Join the Product Analytics team of a leading online company, where you help millions of buyers and sellers trust each other and find what they need faster.
Analysts here work inside multidisciplinary product teams alongside product managers, UX designers, and developers. You'll formulate the right questions and answer them with data analysis, machine learning, modelling, and continuous experimentation.
What you'll do- Uncover user and customer insights through descriptive and diagnostic analysis
- Identify and interpret trends and patterns, and turn them into reports and dashboards that support business decisions and strategic planning
- Apply advanced analytics to improve predictive capability and user segmentation
- Lead A/B testing and other experiments, applying the scientific method and performing deep-dive analyses
- Define tagging plans and measure the impact of the site, campaigns, and user behavior together with Product, UX, and Marketing
- Strengthen the data-driven culture within the product teams
- Track SEO share-of-voice by brand/model. Building dashboards on inventory depth vs ranking. Designs and evaluate SEO experiments indexing thresholds, pagination logic, etc
- SQL and large datasets
- Python or R
- A/B testing, experimentation, and statistical and causal analysis
- Digital analytics and data visualization (dashboards)
- 5+ years of experience in analytics or data science
- Experience working closely with multidisciplinary product teams in a digital environment (e-commerce or similar is a plus)
- Strong SQL skills and experience with large datasets
- Knowledge of Python or R
- Hands‑on experience with A/B testing and a solid understanding of statistical and causal analysis
- Experience with tracking SEO share-of-voice by brand/model
- Curious about user behavior, with initiative and drive, and energized by the interplay of data, product, and tech
- Excellent written and verbal communication: you can explain complex findings clearly and concisely
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