Product Data Analyst

Role Overview

Join the Data & IT team at Oxigent Technologies as a Product Data Analyst, working on massive-scale projects with the largest retailer in Europe, impacting millions of users. Act as a product and data reference, leading data-driven decision-making, and collaborating with the Product Owner and Product Designer.

What You Will Do

Design and define product tracking strategies, execute A/B testing, and perform advanced analysis of large volumes of data to translate patterns and trends into actionable business insights.

Why It Might Be a Fit

We value autonomous, meticulous, business-savvy, and high-capacity team players with experience in product analytics, data extraction/transformations, and data architectures like Medallion.

Requirements

• University degree in STEAM field (Mathematics, Statistics, Engineering, Physics, or related)
• Consolidated experience (+3 years) as a Product Data Analyst in digital products (mobile and/or web applications) and product analytics
• High level and practical experience (+3 years) with SQL and PySpark
• At least 1 year of experience working with Databricks workspaces and familiarity with data architectures like Medallion
• Experience in designing and executing A/B testing, product analytics, and data extraction/transformations (ETL)
• Good level of English fluency (at least B2) for interacting with international teams from the group

Benefits

• Stability from day one, with indefinite employment through Oxigent
• Salary according to profile and experience (between 39,000 – 43,000 euros brutos anuales)
• Flexible hybrid work model (2 days presenciality / week)
• Flexible schedule and intense summer work
• Annual training check for developing in areas that interest you
• Private medical insurance
• Flexible retribution applicable to medical insurance, restaurant, transportation, childcare, and training
• Pension plan with employer complementary contribution
• Wellness app with access to gyms, sports, and professional activities at reduced prices
• Events, afterworks, and solidarity activities to disconnect, share, and know the team

Tagged as: Data Analysis