Master Data Analyst — SAP MDG & Data Quality

Hunter Douglas, Inc.; Atlanta (GA); Remote; USD 80,000 - 90,000; Full time

Benefits offered by this job

Bonus target 10–20%

401(k) employer matching

Paid parental leave

Wellness programs

Product discounts

Time off with pay

Job summary

Hunter Douglas, Inc. is seeking a detail-oriented Master Data Analyst specializing in Data Governance and SAP to strengthen the integrity of enterprise master data.

You will partner across Supply Chain, Product Management, Engineering, Operations, and IT to ensure high-quality data fuels efficient operations and successful product launches. If you thrive where data quality matters and enjoy improving processes, you’ll fit in well and contribute to continuous data-driven improvements across the

Qualifications

• Bachelor's degree in a related field.
• 2-5 years of experience in Master Data, Data Governance, or Data Management.
• Hands-on experience with SAP ERP (ECC or S/4HANA).
• Understanding of core Supply Chain or Operations processes.

Responsibilities

• Create, modify, and maintain SAP master data (Material Master, BOMs, Routings, Production Versions, PIRs, Source Lists, configurations).
• Manage SAP MDG workflows, change requests, approvals, data validations, and data quality rules.
• Perform regular data audits to monitor quality, completeness, and consistency.
• Train and support functional teams on master data requirements, processes, and templates.

Skills

SAP expertise

Data governance

Analytical mindset

Stakeholder management

Education

Bachelor's degree in Supply Chain, Data/Information Management, Engineering, or related

Tools

SAP ERP

MDG workflows

Job description

Hunter Douglas, Inc. is seeking a detail-oriented Master Data Analyst specializing in Data Governance and SAP to strengthen the integrity of enterprise master data.

You will partner across Supply Chain, Product Management, Engineering, Operations, and IT to ensure high-quality data fuels efficient operations and successful product launches. If you thrive where data quality matters and enjoy improving processes, you’ll fit in well and contribute to continuous data-driven improvements across the