Senior Data Analyst, Barcelona
Barcelona
Barcelona, Barcelona, ESYour New Company: Tech Hub located in Barcelona
Your Tasks: Continuous requirements engineering and consulting towards your product and business teams to implement data analytics projects.Be hands-on building ETL pipelines and implement end-to-end data processes in the cloud.Design and develop data marts tailored to specific business needs, architecting scalable data models for dashboards and multiple downstream processes.Define and maintain key performance indicators (KPIs), identify appropriate data sources, retrieve data via SQL, and create dynamic reports and dashboards using Looker Studio / Looker.Collaborate closely with web developers and data analysts to explore, define, document, and refine data concepts with other product teams.Perform proactive analyses to identify opportunities for continuous improvement in Webshops modules and components.Support business teams by driving marketplace operations improvements through actionable data insights.Define and set up new tracking concepts for our Webshops/modules/components.Your Profile: Degree in a technical and/or mathematical-related subject (e.g., statistics, physics, engineering, sciences, industrial computer sciences, or similar).3+ years as a Data Analyst / BI Developer (m/f/d), ideally in ecommerce companies, with a proven track record building up Analytics Stacks from scratch.Excellent SQL knowledge; preferable practical experience with Google BigQuery or similar data warehouse/data lake systems or non-relational databases.Profound experience in defining and implementing tracking concepts and extracting data from web-based solutions (like Google Analytics).Experience and knowledge of ETL pipelines and data flows, preferably in cloud environments.Ability to independently handle projects or collaborate with colleagues, transforming stakeholder requirements into actionable insights.Ownership, strong problem-solving skills, and a proactive approach to identify and address business challenges using data-driven methods.ETL, SQL, BigQuery
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