Senior Analytics Engineer - Shop Analytics

Beschreibung

Job Zusammenfassung In dieser Rolle entwirfst du leistungsstarke Datenpipelines zur Analyse der Shop-Performance, entwickelst automatisierte Reporting-Lösungen und verbesserst Umsatzattributionsmodelle. Du arbeitest eng mit verschiedenen Teams zusammen. Job Zusammenfassung In dieser Rolle entwirfst du leistungsstarke Datenpipelines zur Analyse der Shop-Performance, entwickelst automatisierte Reporting-Lösungen und verbesserst Umsatzattributionsmodelle. Du arbeitest eng mit verschiedenen Teams zusammen. Deine Rolle im Team Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting. Design and build automated reporting solutions based on business stakeholder requirements. Enhance revenue attribution models and expand reporting capabilities for our advertising platform. Maintain ownership of data quality across our data assets. Work cross-functionally with product, tech, and retail media teams. Unsere Erwartungen an dich Qualifikationen Advanced SQL skills, including query optimization for big data environments. Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data. Solid understanding of frontend tracking and web analytics implementation (e.g., GA4). Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift). Strong ability to work independently and drive projects forward. Excellent communication skills for collaborating with diverse stakeholders. Problem-solving approach with attention to detail. Ability to translate business requirements into technical solutions. Erfahrung You have at least 5 years of relevant experience. Experience with data transformation tools (e.g., dbt) in big data contexts. Experience with optimization techniques (partitioning, clustering). Collaborative mindset, with experience working in cross-functional teams. Benefits Work-Life-Integration 🧳 Relocation Package 🏠 Home Office ⏰ Flexible Arbeitszeiten Gesundheit, Fitness & Fun 🎳 Team Events 🏋🏿‍♂️ Fitness Angebote Essen & Trinken ☕️ Kaffee, Tee o. Ä 🍏 Frisches Obst Themen mit denen du dich im Job beschäftigst Data Economy E-Commerce Metadaten Level: Senior Job Feld: Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Handel, Internet, IT, Telekom Ort: Berlin | Deutschland

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