Vendor Data Quality Analyst - SAP MDG Onsite

Experis Technology Group; Lake Bluff (IL); On-site; USD 44,000 - 52,000; Full time

Job summary

Experis Technology Group is seeking a Junior Vendor Data Management candidate to join a Fortune 500 client in Lake Bluff, IL. This onsite role focuses on maintaining accurate vendor master data within SAP MDG/SAP and supporting data quality initiatives.

The ideal candidate has 2–5 years of experience in vendor data management, strong Excel skills, and familiarity with SAP MDG/SAP processes. Collaboration with procurement and AP is essential to improve data quality and governance.

Qualifications

• 2–5 years of Vendor Master Data or MDM experience.
• Experience with SAP MDG and SAP Vendor Master processes.
• Strong Excel skills (Pivot Tables, XLOOKUP, reporting).
• Experience in data quality analysis and cleansing.
• Strong analytical and problem-solving skills.

Responsibilities

• Ensure accuracy, completeness, and integrity of vendor master data within SAP MDG/SAP.
• Monitor and improve vendor data quality; identify data issues and support cleansing.
• Review and validate vendor master data in SAP MDG/SAP.
• Identify duplicates and incomplete records; remediate data quality issues.
• Analyze data using Excel and SAP reports; create quality scorecards.
• Collaborate with Vendor Master, Procurement, and AP teams to resolve issues.
• Assist with SOPs and data quality documentation.

Skills

Analytical skills

Problem-solving

Independent worker

Data quality analysis

Vendor data management understanding

Tools

SAP MDG

SAP Vendor Master

SAP S/4HANA

Excel

Job description

Experis Technology Group is seeking a Junior Vendor Data Management candidate to join a Fortune 500 client in Lake Bluff, IL. This onsite role focuses on maintaining accurate vendor master data within SAP MDG/SAP and supporting data quality initiatives.

The ideal candidate has 2–5 years of experience in vendor data management, strong Excel skills, and familiarity with SAP MDG/SAP processes. Collaboration with procurement and AP is essential to improve data quality and governance.