Data & BI Analyst

Inetum · Consultoría & Servicios TI · Lisbon, Lisbon, Portugal

Lisbon, Lisbon, Portugal28 de octubre de 2025Leído en SmartRecruiters
Presencial

Vigencia de la oferta

Probablemente fantasmaVerificada en el sitio del editor hace 3 h

Antigua o republicada varias veces: hay bastantes posibilidades de que sea una cantera permanente y no una vacante real. Pregunta al reclutador si el puesto tiene presupuesto.

  • Activa desde hace 322 d
  • Inetum retira sus ofertas al cabo de 64 d de mediana (106 ofertas cerradas observadas)

Comprobado cada seis horas en el sitio del editor. La antigüedad cuenta desde la fecha de publicación original, incluso tras una republicación.

Descripción

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

  • Creation of dashboards and reports to support decision-making.
  • Implementation of data visualization strategies.
  • Data Governance: asset cataloging, application of technical and functional rules.
  • Data Quality: execution of profiles and alerts for stakeholders.
  • Connections with Microsoft Fabric, Dynamics, and other sources.
  • Support to business teams in Purview, Data Governance, and Data Quality.
  • Onboarding and training
  • Between 2 and 5 years of experience in the role.
  • Experience in Data Governance and EDP projects.
  • Tools and platforms:
  1.  Microsoft Purview (implementation of data quality rules)
  2. Microsoft Fabric
  3. Power BI
  4. Azure
  5. Databricks
  6. AWS
  • Languages and tools:
  1. SQL
  2. Advanced Excel
  3. Dashboard tools
  • Desirable knowledge:
  1. SAS Enterprise Guide
  2. DOMO
  3. DAMAn framework
  • Experience in CI/CD and agile methodologies.

 

Work model: Hybrid.

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Publicada el 28 de octubre de 2025 · vista por primera vez el 6 de septiembre de 2026

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