Master Data Architect: Hierarchies & Quality

Loreal; Madrid; Presencial; EUR 45.000 - 60.000; Jornada completa

Descripción de la vacante

L’Oréal BEST Madrid is seeking a Master Data Hierarchy Specialist to own and maintain product hierarchy master data across systems, driving data quality and governance. You will collaborate with global teams to ensure accurate data and consistent information flow across Finance, Digital and Data services.

You will work in a fast-paced, multilingual environment, contributing to continuous improvement of data processes and governance, and ensuring robust data quality for business partners across

Formación

• Strong experience in Master Data Management and processes.
• Advanced English skills are required.
• Proficiency in SAP (customer master data).
• Strong command of Microsoft Office Suite (Excel, PowerPoint, Word).

Responsabilidades

• Data Stewardship: own end-to-end process of creating, updating, enriching, and maintaining product hierarchy master data records.
• Request Management: process incoming requests for code creation/modification/closure with follow-up on incomplete/non-compliant requests.
• System Integration & Publication: ensure publication of master data changes across integrated systems.
• Quality Assurance & Improvement: perform data quality controls and troubleshoot issues; escalate as needed.
• Process Enhancement: contribute to continuous improvement of master data processes.
• Project Involvement: participate in cross-functional projects to enhance data landscape.

Conocimientos

Exceptional Attention to Detail

Strong Communication

Collaborative Team Player

Problem-Solving Mindset

Business Acumen

Herramientas

SAP

Microsoft Office

Descripción del empleo

L’Oréal BEST Madrid is seeking a Master Data Hierarchy Specialist to own and maintain product hierarchy master data across systems, driving data quality and governance. You will collaborate with global teams to ensure accurate data and consistent information flow across Finance, Digital and Data services.

You will work in a fast-paced, multilingual environment, contributing to continuous improvement of data processes and governance, and ensuring robust data quality for business partners across