20 beste vacatures voor de functie van data in bodegraven (nieuwe medewerkers gezocht)

Material Master Data Analyst
Dixstone —Hoofddorp
- Hybride werken
- Microsoft Excel
- Engineering
- ERP systemen
Data Steward (Leiden)
EBMT —Leiden
- € 3.220 - € 3.714 per maand
- Fulltime
- Hybride werken
- Engels
- Databases
- SQL
- Flexibele werkuren
Intern, Data Analytics - Customer Care
Foot Locker —Utrecht Binnenstad
- € 400 - € 600 per maand
- Fulltime
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Office
Data Scientist
Capgemini —Utrecht
- Parttime
- Data-analyse
- Engels
- Machinaal leren
- Reiskostenvergoeding
Data scientist
SBB —Zoetermeer
- € 4.361 - € 6.379 per maand
- Online sollicitatie
- Hybride werken
- Azure
- Analytisch vermogen
- Bachelor
- Reiskostenvergoeding
Bouweconomisch Data Specialist
IGG bouweconomie —Den Haag
- € 3.100 - € 5.250 per maand
- Fulltime
- Civiele techniek
- Data-analyse
- Analytisch vermogen
- Winstdeling
Data Scientist
Abovomaxlead —Oegstgeest
- Kantoor
- Analytisch vermogen
- Communicatieve vaardigheden
Consultant Data
Highberg —Zoetermeer
- € 4.000 - € 5.000 per maand
- Hybride werken
- Azure
- Microsoft Outlook
- Engels
Data Scientist
NextEnergy BV —Utrecht
- Fulltime
- Hybride werken
- Azure
- SQL
- Analytisch vermogen
- Reiskostenvergoeding
Snel solliciteren
Informatieanalist data analytics
ProRail —Utrecht
- € 5.091 - € 7.262 per maand
- Parttime
- DevOps
- Python
- Reiskostenvergoeding
10 dagen
Purchasing Data Analytics Intern - NPD
JLG —Hoofddorp
- Microsoft Excel
- Engels
- Master
Data Governance Professional
Capgemini —Utrecht
- Fulltime
- Hybride werken
- Informatica
- Azure
- Organisatorische vaardigheden
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Linked Data / AI Consultant
CGI —Randstad
- Azure
- DevOps
- Engels
Snel solliciteren
Data Scientist - Verzekeringen & Pensioenen
CGI —Randstad
- Azure
- DevOps
- Data-analyse
Snel solliciteren
Data Analyst
Mediq —De Meern
- € 4.000 - € 4.800 per maand
- Hybride werken
- Data-analyse
- Engels
- SQL
- Reiskostenvergoeding
Afstudeerstage Data & AI
Axoft —Rotterdam
- Vanaf € 500 per maand
- Fulltime
- Management
- Data-analyse
- Engels
Data Analyst
Capgemini —Utrecht
- € 5.900 per maand
- Fulltime
- Azure
- Data-analyse
- SQL
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Data & Analytics Internship
Fugro —Nootdorp
- Parttime
- Informatica
- Master
- SQL
7 dagen
Data Protection Officer
l'Oréal —Hoofddorp
- Fulltime
- Engels
- Projectmanagement
- ICT
Snel solliciteren
Data analist
Colosseus —De Meern
- Parttime
- Microsoft Excel
- Engels
- SQL

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Material Master Data Analyst

Dixstone
Hoofddorp

Nu solliciteren

Vacaturegegevens

Kwalificaties

Frans
Power BI
Microsoft Excel
Procurement
Engineering
Supplychain
ERP systemen
SAP Materials Management
Engels
Analytisch vermogen
Bachelor
Bedrijfsadministratie
SAP ERP
Bedrijfskunde
Communicatieve vaardigheden
Tijdmanagement

Volledige vacaturetekst

The Material Master Data Analyst is responsible for creating, maintaining, and safeguarding the quality of the material master database across the Company's ERP systems. Acting as one of the main points of contact for cataloguing-related requests from Procurement, Engineering, and Operations, the role ensures materials are created accurately, consistently, and within agreed service levels, while preventing duplicates and enforcing data governance standards. By maintaining a reliable and well-structured material master database, this role directly supports procurement efficiency, supply chain reliability, and informed decision-making across the organisation.

Core Tasks

Receive and manage material creation and modification requests through the designated workflow or ticketing tool, acting as the main point of contact for cataloging-related queries from Procurement, Engineering, and Operations teams, and ensuring requests are processed within agreed service levels (SLAs).
Support the Category Specialist and wider Business Support team in maintaining a reliable, up-to-date material master database.

Catalog new materials in the ERP system (e.g., IFS, SAP MM and McMain) following standardized naming conventions, classification rules, and technical specification templates, ensuring all required technical attributes (dimensions, materials, units of measure, manufacturer part numbers, etc.) are complete and accurate before approval.
Identify and prevent duplicate material creation through systematic searches and matching against existing records, while harmonizing and standardizing material descriptions and classifications across business units, plants, or legal entities.

Perform periodic data cleansing activities, including deactivating obsolete materials, correcting inconsistencies, and merging duplicates, while maintaining and enforcing data governance policies, taxonomies, and classification structures.
Monitor data quality KPIs (completeness, accuracy, duplication rate) and report deviations to the Category Specialist.

Skills & Knowledge

Strong attention to detail and ability to interpret technical specifications.
Analytical mindset, with experience using Excel and/or Power BI for data quality tracking.
Effective organizational and time-management skills to handle multiple requests simultaneously.
Clear written and verbal communication skills to liaise with technical and non-technical stakeholders.
Working knowledge of ERP systems (SAP MM, IFS, or similar) for material master data creation and maintenance.
Familiarity with material classification standards or internal taxonomies.
Understanding of procurement and supply chain processes.
Knowledge of data governance principles and master data management best practices.

Qualifications

Bachelor's degree in Engineering, Supply Chain, Business Administration, or related field.
Certification in Master Data Management or Supply Chain is a plus.
2+ years of experience in master data management, material cataloging, procurement, or supply chain operations, ideally with hands-on ERP experience (SAP MM, IFS, or similar).
Fluent in English; French language is a plus.
Experience with data governance tools (e.g., TAM4) and exposure to Normalize-Match-Survive or similar data harmonization methodologies is an advantage.

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