Data Analyst (All Genders)

apartmentZooplus placeMadrid calendar_month 

Experteer Overview

As a Data Analyst at zooplus, you will join the Shopping u0026amp; Markets Analytics team to transform transactional and behavioral data into clear, actionable insights that inform product and business decisions. You own the end-to-end analytics workflow, from data provisioning to dashboards, enabling data-driven decisions and performance improvements.

You apply statistics and experimentation methods, build visualizations, and present findings to stakeholders. This role supports cross-functional product initiatives and fosters a data-driven culture.

Compensaciones / Beneficios
  • Own end-to-end analytics pipeline focusing on transactional and behavioral data
  • Conduct deep-dives into product datasets to generate actionable insights
  • Perform product discovery analysis to identify opportunities and hypotheses
  • Apply statistical techniques (A/B testing, regression, forecasting) to evaluate performance
  • Develop advanced dashboards and SQL-based reports to track KPIs
  • Present findings to stakeholders and tailor messaging for audiences
  • Integrate insights from multiple data sources into a cohesive framework
  • Contribute to building and sustaining a data-driven culture across the organization
  • Collaborate with product teams across the lifecycle to measure impact and opportunities
  • Stay updated on analytical advancements and suggest new methods or tools
Responsabilidades
  • 3+ years in a data-driven product environment, preferably in e-commerce
  • Strong analytical and statistical background with critical thinking
  • Proven experience with A/B testing, regression analysis, and forecasting
  • Advanced SQL skills (query optimization, large datasets, data mart creation)
  • Experience building dashboards in Tableau, Power BI, or similar tools
  • Strong communication skills; ability to present to senior stakeholders
  • Experience with Adobe Analytics or similar digital analytics tools
  • Ability to simplify complex data insights for diverse audiences
  • Bachelor's or Master's in Statistics, Data Science, Computer Science, Mathematics, or related field (preferred)
Requisitos principales
  • hybrid working (60% office, 40% home)
  • 20 days abroad in approved countries
  • development opportunities
  • wellbeing offers
  • subsidised transport or bike leasing
  • 20% employee product discount
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