Data Governance & Quality Analyst

Inetum; Almada; Presencial; EUR 45 000 - 60 000; Tempo integral

Resumo da oferta

Inetum is seeking 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.

You will map assets, document source systems and data flows, engage Data Owners and Data Stewards, and help identify data quality issues

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 functional specifications and 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-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.

Conhecimentos

Data lineage

Metadata management

Data quality

Master data management

Ferramentas

Microsoft Fabric

Medallion Architecture

Data Mesh concepts

Descrição da oferta de emprego

Inetum is seeking 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.

You will map assets, document source systems and data flows, engage Data Owners and Data Stewards, and help identify data quality issues