
S/4HANA Data Quality and Analysis Specialist – Finance
- Lisboa
- Permanente
- Horário completo
- Drive the development and execution of the Finance S/4 Data Quality strategy and roadmap.
- Define and track data quality requirements, metrics, and reporting processes for S/4 data.
- Lead data profiling activities and provide clear business insights from profiling outputs.
- Partner with Data Design teams to analyse SAP ECC data and establish data standards.
- Identify, document, and resolve data quality issues and problem statements.
- Enhance data quality at source to ensure smooth S/4HANA migration.
- Support impact assessments, interim reporting, and deployment activities.
- Contribute to S/4 Cleanse and Migration strategies and delivery plans.
- Scope and implement targeted data cleansing activities for migration readiness.
- Build a sustainable data quality framework for ongoing monitoring and remediation.
- Ensure alignment with S/4 Data Governance framework and drive governance strategy.
- Embed ongoing data quality (“keep clean”) measures into business-as-usual processes.
- Deep expertise in data quality management, including rule creation, reporting, and end-to-end issue remediation.
- Hands-on experience with data profiling, discovery, root cause analysis, and automated data quality solutions.
- Proven success driving significant data quality improvements through profiling, cleansing, migration, and analysis.
- Strong track record managing complex, large-scale data quality projects.
- Demonstrated leadership across diverse, global, and cross-functional teams.
- Excellent communication and influencing skills to align stakeholders and drive results.
- Skilled negotiator adept at managing competing priorities to achieve business outcomes.
- Strong delivery focus, prioritization, and analytical problem-solving abilities.
- Solid knowledge of Master Data and Reference Data Management.
- Experienced in requirements gathering and business analysis.
- Working knowledge of SAP ECC Finance and Controlling modules.
- Understanding of data architecture, analytics, modelling, policy assurance, quality assurance, and control testing.
- Experience with data management tools and S/4HANA implementation programmes.
- Background in life sciences or healthcare settings.
- Data Governance expertise and experience supporting Data Governance solutions.
- Knowledge of relevant business processes and SAP transactions/reporting.
- Understanding of data management concepts, including data lineage and definitions.
- Proven experience partnering with Business and IT for Data Governance initiatives.
- Working knowledge of SAP ECC Project System modules.
- Working knowledge of integration between SAP ECC Logistics and Financial modules.