About the job
Hunter Douglas stands as the premier manufacturer of window coverings and architectural products globally. With over a century of innovation, our brand is synonymous with quality and trust. Our proprietary products, which combine revolutionary style with unmatched functionality, adorn millions of homes and commercial spaces worldwide.
We seek passionate, intelligent, and innovative individuals who are ready to embark on an exciting career journey. Our commitment to personal and professional growth is matched by a competitive compensation package, ensuring that you feel valued as part of our team. Our vision is to become the fastest-growing and most beloved window covering company in the world. What is yours?
Position Overview
We are in search of a meticulous and collaborative Master Data Analyst with a focus on Data Governance and SAP. You will play a pivotal role in enhancing the integrity and reliability of our enterprise master data. This position requires collaboration across Supply Chain, Product Management, Engineering, Operations, and IT to guarantee that high-quality master data drives operational efficiency, accurate reporting, and successful product launches.
If you excel in environments where data quality is paramount and have a passion for process improvement, you will thrive in this role.
Key Responsibilities
Master Data Management
- Create, modify, and maintain SAP master data, including Material Master, BOMs, Routings, Production Versions, PIRs, Source Lists, and variant configurations.
- Ensure all master data adheres to established governance rules, standards, and naming conventions.
- Support new product launches by coordinating data requirements and ensuring readiness.
SAP Data Governance (MDG)
- Manage SAP MDG workflows, including change requests, approvals, data validations, and data quality rules.
- Collaborate with Data Owners to identify gaps and initiate corrective actions.
- Engage in enhancement projects for MDG workflows, user experience, and process automation.
Data Quality & Continuous Improvement
- Conduct regular data audits to assess quality, completeness, and consistency.
- Identify root causes of data issues and implement sustainable improvements.

