Data Analyst & Scientist

• Join a centralized Data team supporting multiple eCommerce business areas
• Analyze, model, and transform data into actionable insights to support business decision-making
• Focus on eCommerce performance, marketing, and commercial impact
• Work closely with business stakeholders to define analytics requirements and deliver solutions
• Develop advanced analyses, dashboards, and predictive models to support strategic decisions
• Contribute to the evolution of the team by sharing best practices and improving analytical methods
• Translate complex datasets into clear, actionable recommendations for different areas of the business

? WHY US? ?

Join our dynamic team of talented people and discover a world full of growth and opportunities. Here's what we offer:

• Fast career growth through a personalized career path and salary review. 70% of our senior leaders started in entry-level positions.
• Enhance your skills through our Technology Academy catalog, Udemy platform, language classes, webinars, and workshops.
• Take control of your learning with an annual personal budget and company-paid certifications.
• Enjoy flexible policies, remote work options, and excellent social benefits such as transport and meal vouchers, childcare support, and private health insurance.
• Benefit from our WeCare program, supporting employees in critical situations.
• Unlock your full potential, both professionally and personally.

• Degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
• 3+ years of experience in Data Analysis or Data Science roles, ideally within eCommerce, retail, or digital environments
• Advanced SQL skills and hands-on experience with Snowflake, BigQuery, or Databricks
• Strong proficiency in Python for data analysis and modeling (pandas, numpy, scikit-learn)
• Experience developing analytical and predictive models
• Ability to work with large datasets in cloud-based environments
• Business-oriented mindset with the ability to translate data into actionable insights
• Strong communication skills, able to interact with both technical and non-technical stakeholders
• Experience with data visualization tools such as Power BI or similar is a plus
• Languages: Native Spanish; fluent in English; Catalan considered a plus