Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Data Governance Business Analyst

msamlin
Companymsamlin
CategoryConsulting & Strategy
LocationAmstelveen
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted28 Jun 2026
Last verified12 Aug 2026
SourceEmployer ATS (workday)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Data Governance Business Analyst Department :   CF Data Governance & Architecture Job   Role Overview We are seeking an experienced   Data Governance Business Analyst   to support the implementation and operationalization of enterprise data governance. The role will work closely with business stakeholders,   data architects,   data owners, data stewards, and technology teams to   establish   governance processes, implement data   catalog     and lineage capabilities, and improve data transparency across the organization. The ideal candidate will have hands-on experience with data governance frameworks, metadata management, business glossary implementation, and data lineage, particularly using tools such as Microsoft Purview   and Unity   Catalog . Experience in the   I nsurance industry , specifically   Property & Casualty (P&C) , is highly desirable. Key Responsibilities Data Governance Implementation • Support the design and implementation of enterprise   data governance frameworks, processes, and policies . • Support implementation of   data governance controls aligned with regulatory and data protection frameworks such as General Data Protection Regulation , including data classification, sensitive data handling, and metadata tagging. • Help   establish   and operationalize   data ownership, stewardship, and governance workflows . • Collaborate with business and technical teams to define   data standards and governance practices . Metadata Management & Data   Catalog • Lead the implementation and adoption of   data   catalog   capabilities using Microsoft Purview . • Develop and   maintain   a   business glossary and data dictionary . • Ensure business terms are mapped to   technical metadata and data assets . Data Lineage & Data Discovery • Support implementation of   end-to-end data lineage   across data platforms. • Enable traceability of data from   source systems to analytics and reporting layers . • Facilitate   impact analysis   for data changes. Stakeholder Engagement • Work closely with   business users, data stewards, data engineers, and architects   to capture governance requirements. • Facilitate workshops to define   business definitions, data ownership, and data quality rules . • Promote   data governance awareness and adoption   across teams. Data Platform Collaboration • Collaborate with engineering teams working on modern data platforms   such as   Microsoft Azure ,   Microsoft Fabric   or   Azure Databricks • Support metadata integration and governance across   data lakes, warehouses, and analytics platforms . Required Skills & Experience Experience • 5+ years of experience in   data governance, data management, or data-related business analysis roles . • Hands-on experience implementing   data governance tools , particularly   using tools such as   Microsoft Purview   or Unity   Catalog • Strong experience working with   data stakeholders across business and technology teams . Industry Knowledge • Good understanding of the Dutch insurance industry, particularly   Property & Casualty   (P&C) • Understanding of data protection and privacy regulations, particularly General Data Protection Regulation, and how they relate to data governance, metadata management, and sensitive data classification . Technical Knowledge • Good understanding of modern   data platforms and architectures , including   Microsoft Azure ,   Microsoft Fabric   &   Azure Databricks • Strong   SQL knowledge   and ability to understand data structures. • Understanding of   data warehousing, data lakes, and ETL/ELT pipelines. Nice to Have • Experience with   data lineage and impact analysis frameworks . • Knowledge of   data quality management practices . • Experience working with   regulatory or compliance-driven data environments   in insurance. • Experience with reporting tools such as Power BI. Education • Bachelor’s or   Master’s degree in   Information Management , Data Management, Computer Science, or a related field.