5–10 years (Senior) Task description: The mission combines data analysis, semantic modeling (linked data), understanding of data pipelines, and management of small‑scale data projects, in close collaboration with business teams, Data & Digital, and ICT. Identify and analyze stakeholder needs, define scope, objectives, deliverables, and planning for small to medium data projects (pipelines, analyses, light automation). Data & pipeline analysis: Analyze existing data flows, sources, transformations, and models. Design and evolve semantic data models (linked data – RDF, OWL) to ensure coherence, interoperability, and reusability.
Produce operational analyses, reports, KPIs, dashboards, and validate results with stakeholders.
Act as a functional interface between business, Data & Digital, and ICT. Facilitate workshops, clarify needs, support decision‑making, and align initiatives with the Data & Digital roadmap.
Document analyses, models, and deliverables using tools such as SPARX Enterprise Architect. Formalize best practices and ensure knowledge transfer to internal teams.
Ability to define scope, objectives, deliverables, and coordinate stakeholders for small data projects (≥5 years).
Data analysis: Data pipelines: Functional understanding of data flows from source to analytics (≥5 years).
Linked data technologies: SQL: Data extraction, transformation, and analysis across systems (≥2 years).
Experience in modeling data structures, flows, architectures, and structured documentation (≥2 years).
Languages:
Language 1: French or Dutch (C1 – advanced mastery)
Language 2: French or Dutch (B1 – intermediate comprehension)