Data Governance Analyst

Inetum

Lisboa

Presencial

EUR 32 000 - 52 000

Tempo integral

14 dias+
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Resumo da oferta

Inetum is seeking a Data Governance Analyst to support the governance of data assets across multiple business domains. You will work with business and technical stakeholders to improve data quality, traceability and accessibility while shaping the organization’s data governance framework.

The role emphasises collaboration with Data Owners and Stewards, documentation, and data modelling activities to ensure data integrity and compliance across systems.

Qualificações

  • Knowledge of Data Lineage, Metadata Management, Data Quality and Master Data Management.
  • Experience cataloguing, classifying and documenting data assets.
  • Ability to analyse data requirements and translate them into governance rules.
  • Strong stakeholder engagement and documentation skills.

Responsabilidades

  • Identify and map data assets, entities, attributes and business relationships.
  • Document source systems, data flows, business rules and application dependencies.
  • Collaborate with Data Owners and Data Stewards to collect and validate data information.
  • Identify information gaps, data quality issues and process improvement opportunities.
  • Maintain consistent documentation of data assets and ownership structures.

Conhecimentos

Data governance
Data quality
Metadata management
Data lineage
Stakeholder engagement
Documentation

Ferramentas

Microsoft Fabric
Medallion Architecture
Data Mesh concepts

Descrição da oferta de emprego

Company Description

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.

Company Description

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.

Job Description

Inetum is looking for a Data Governance Analyst to support the identification, documentation and governance of data assets across multiple business domains. The role will work closely with business and technical stakeholders to improve data quality, traceability and accessibility while contributing to the evolution of the organization's data governance framework.

Main Responsibilities

  • Identify and map data assets, entities, attributes and business relationships.
  • Document source systems, data flows, business rules and application dependencies.
  • Collaborate with Data Owners and Data Stewards to collect and validate data-related information.
  • Identify information gaps, data quality issues and process improvement opportunities.
  • Maintain consistent documentation of data assets and ownership structures.
  • Contribute to data modelling activities.

Qualifications

  • Knowledge of Data Lineage, Metadata Management, Data Quality and Master Data Management.
  • Experience cataloguing, classifying and documenting data assets.
  • Ability to analyse data requirements and translate them into functional specifications and governance rules.
  • Strong stakeholder engagement and documentation skills.

Additional Valued Experience

  • Microsoft Fabric.
  • Medallion Architecture.
  • Data Mesh concepts and data products.

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