Data Pipeline Analyst – Linked Data & Semantic Modeling

Editx

Brussel

Sur place

EUR 60 000 - 90 000

Plein temps

Il y a 13 jours

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Résumé du poste

Editx in Brussels is looking for a data specialist to define scope, objectives and deliverables for data projects, including pipelines and automations. You will design semantic data models using RDF and OWL and develop reports, KPIs and dashboards tailored to operational use cases to support business decisions.

You will facilitate workshops with business and technical stakeholders to align data initiatives with the organizational roadmap and identify opportunities to improve data quality,

Responsabilités

  • Define scope, objectives, and deliverables for small to medium-sized data projects, including pipelines and automations.
  • Analyze existing data flows, sources, and transformations to design and evolve semantic data models using RDF and OWL.
  • Develop reports, KPIs, and dashboards tailored to operational use cases to support business decisions.
  • Facilitate workshops with business and technical stakeholders to align data initiatives with the organizational roadmap.
  • Identify opportunities to improve data quality, reliability, and performance across various data systems.
  • Document functional choices and data architectures using modeling tools to ensure knowledge transfer and maintainability.

Description du poste

Responsibilities


  • Define scope, objectives, and deliverables for small to medium-sized data projects, including pipelines and automations.

  • Analyze existing data flows, sources, and transformations to design and evolve semantic data models using RDF and OWL.

  • Develop reports, KPIs, and dashboards tailored to operational use cases to support business decisions.

  • Facilitate workshops with business and technical stakeholders to align data initiatives with the organizational roadmap.

  • Identify opportunities to improve data quality, reliability, and performance across various data systems.

  • Document functional choices and data architectures using modeling tools to ensure knowledge transfer and maintainability.

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