Overview In this senior, hands-on role you own the data-science and analytical execution layer for Commerce Analytics and Insights. You build scalable pipelines, understand data lineage, and ensure reliable metrics and outputs. Your work creates trusted foundations for scalable analytical products while staying aligned with business questions. You drive methodological rigor, document data assumptions, and reduce manual work through automation, delivering impact for commerce insights.

Compensaciones / Beneficioshybrid work modellearning, mentorship & career developmenthealth benefits, wellness perks & mental health supportdiverse, inclusive, globally connected culturecompetitive salary with performance-based rewards and potential equity ResponsabilidadesOwn the data-science and analytical execution layer for Commerce Analytics and Commerce InsightsBuild, improve, and maintain data pipelines powering recurring analyticsUnderstand source tables, data lineage, and data quality risksEnsure outputs are correct, consistent, and operationally reliableDefine, document, challenge,



and improve methodologies behind key metrics and analytical frameworksCollaborate with Solution Architect and commercial stakeholders to translate business questions into robust analysesDrive hands-on execution of analyses across use casesCreate scalable approaches over one-off manual workInvestigate data issues and resolve them with strong ownershipContribute to documentation, process improvement, and knowledge transfer for scalabilityIdentify automation, standardization, or better data design to improve quality and speedStay close to business context to ensure technical execution aligns with client needs Requisitos principalesSenior and hands-on with ownership of execution and qualityStrong data engineering, pipelines, analytical logic, and metric designProficient in SQL, Python, Spark and coding for data processingExperience building production-grade analytical pipelinesExperience documenting methods and educating stakeholders on metric definitionsAbility to understand table meanings, connections, and potential misinterpretationsMethodologically rigorous with judgment in metric definition and validationStructured and practical, able to translate ambiguous questions into executable solutionsComfort collaborating with client-facing and non-technical stakeholdersStrategic mindset to improve systems beyond mere executionExtensive experience in data science, analytics engineering, or similar in data-rich environmentsStrong understanding of experimentation, metrics, methodology design, and QAExperience with large-scale behavioral, commerce, or media datasetsownership and accountabilitycollaboration with stakeholdersclear communicationSQLPythonSpark

📌 Senior Data Scientist, Commerce Analytics & Insights - barcelona
🏢 Jobrapido
📍 Barcelona