In doing so, you will ensure that every digital and personal touchpoint inspires enthusiasm while continuously increasing the profitability of our e-commerce business.You will lead and develop your team of QA managers, customer journey experts, credit managers and business analysts, both professionally and disciplinarily. In doing so, you will embody our leadership principles: Create Clarity, Unleash Energy, Passion for People and Deliver Results.
What makes you stand out You possess strong expertise in analytical and dimensional data modeling (e.g., hybrid models, conceptual data models, conformed dimensions) and think in terms of long‑lasting, stable data products.You have extensive experience with Azure Data Services (ADLS, Azure Data Factory / Synapse Pipelines, Azure Databricks), Snowflake, and dbt as your central transformation tool.You master SQL at an expert level and use Python confidently for data processes, transformations, automations, and quality checks.You bring experience in dbt governance — including modularization, testing strategies, versioning, documentation, and clean‑architecture approaches.You think in architectural terms, communicate precisely, enforce standards without creating blockers, and ensure the long‑term maintainability, performance, and scalability of the entire data model.You speak business‑fluent English (C1) and good German; experience with Kafka or event‑streaming architectures is a plus.
Das Team Data Science & Advanced Analytics – mit Standorten in Frankfurt, Philadelphia, Mailand, Madrid, Athen, Warschau und Peking sowie einem Netzwerk von mehr als 300 Experten weltweit – ist das globale Kompetenzzentrum für Statistik und Data Science bei IQVIA. Das Team ist verantwortlich für die Entwicklung statistischer Verfahren und Methoden, die in Qualitätssicherungsprozessen, Datenimputationen, Datenprojektionen, Forecasting und vielen weiteren Bereichen für Healthcare‑Paneldaten eingesetzt werden, darunter Apothekenumsätze, E‑Commerce‑Daten, Krankenhausverbrauch, verschreibende Ärzte sowie longitudinale anonymisierte Patientendaten.