Product Analyst/ SEO

Xccelerated | Part of Xebia

Amsterdam

Presencial

EUR 65.000 - 95.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Xccelerated | Part of Xebia in Amsterdam seeks a data analytics expert to turn user behavior into product decisions through analysis, ML, and rigorous experimentation. You will collaborate with product managers, UX designers, and developers to drive data-informed choices.

You’ll lead descriptive and diagnostic analyses, build dashboards, and apply advanced analytics for segmentation and predictive insights, while championing a data-driven culture across product teams.

Formación

  • 5+ years of experience in analytics or data science.
  • Experience working with multidisciplinary product teams in a digital environment is a plus.
  • Strong SQL skills and experience with large datasets.
  • Hands-on experience with A/B testing and statistical or causal analysis.

Responsabilidades

  • Uncover user and customer insights through descriptive and diagnostic analysis.
  • Identify trends and patterns and turn them into reports and dashboards for business decisions and strategic planning.
  • Apply advanced analytics to improve predictive capability and user segmentation.
  • Lead A/B testing and experiments, applying the scientific method and deep-dive analyses.
  • Define tagging plans and measure impact of site, campaigns, and user behavior with Product, UX, and Marketing.
  • Strengthen the data-driven culture within product teams.
  • Track SEO share-of-voice by brand/model; build dashboards on inventory depth vs ranking and evaluate SEO experiments.

Conocimientos

SQL
A/B testing
Statistical analysis
Data visualization
Cross-functional collaboration
Communication

Educación

Degree in statistics, computer science, econometrics, economics, or related quantitative field

Herramientas

Python
R

Descripción del empleo

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, modeling, 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)
This is you
  • 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
  • Preferably a degree in statistics, computer science, econometrics, economics, or a related quantitative field
  • 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

Interested? We'd love to meet you!

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