Remote E-commerce Analytics & Experimentation Lead

Xccelerated

Amsterdam

Remote

EUR 90,000 - 120,000

Full time

7 days ago
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Job summary

HireHi is seeking an analytics expert to uncover insights, build dashboards, and apply advanced analytics to improve predictive capability and segmentation. You will collaborate with cross-functional teams to drive data-driven decisions and strategy.

Lead A/B tests, define tagging plans, and measure impact of site, campaigns, and user behavior with Product, UX, and Marketing. This role strengthens the data-driven culture within product teams and supports SEO analytics and optimization.

Qualifications

  • 5+ years of experience in analytics or data science.
  • Strong SQL skills and experience with large datasets.
  • Knowledge of Python or R.
  • Hands-on experience with A/B testing and statistical/causal analysis.
  • Excellent written and verbal communication skills; ability to explain complex findings clearly.

Responsibilities

  • Uncover user and customer insights through descriptive and diagnostic analysis.
  • Identify trends and patterns and create reports and dashboards for business decisions and planning.
  • Apply advanced analytics to improve predictive capability and user segmentation.
  • Lead A/B tests and experiments using scientific methods 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 and model.
  • Build dashboards on inventory depth versus ranking.
  • Design and evaluate SEO experiments on indexing thresholds, pagination logic, and related areas.

Skills

SQL
Python
R
A/B testing
Communication

Education

Degree in statistics or related quantitative field

Job description

HireHi is seeking an analytics expert to uncover insights, build dashboards, and apply advanced analytics to improve predictive capability and segmentation. You will collaborate with cross-functional teams to drive data-driven decisions and strategy.

Lead A/B tests, define tagging plans, and measure impact of site, campaigns, and user behavior with Product, UX, and Marketing. This role strengthens the data-driven culture within product teams and supports SEO analytics and optimization.

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