Data Governance Analyst
At a glance
Mid-level Data Architecture & Governance role at Inetum. Lisbon · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Map data assets, entities, attributes and business links across business areas
- Record where data originates, how it moves, the rules it follows and its application dependencies
- Gather and check data details with Data Owners and Data Stewards
- Spot missing information, quality problems and opportunities to improve processes
- Keep asset and ownership records consistent, and contribute to data modelling
What you bring
- You have experience cataloguing, classifying and documenting data assets
- You can assess data needs and turn them into functional specifications and governance rules
- You bring knowledge of data lineage, metadata management, data quality and master data management
- You have strong stakeholder engagement and documentation skills
Who this fits
This mid-level role suits someone who can work with business and technical stakeholders on data governance. The position is based in Lisbon with a hybrid setup.
From the employer
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.
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.
- 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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