SAP S/4HANA Master Data Analyst

PlanIT Group, LLC; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

PlanIT Group, LLC is seeking an experienced SAP Master Data professional to design and optimize master data processes across manufacturing operations. You will collaborate with ABAP developers and technical architects to ensure data integrity during deployments and migrations.

The role focuses on SAP S/4HANA modules (MM, MDG, PLMSI, PEO), governance, and data quality improvements, with emphasis on delivering integrated solutions and robust data strategies.

Qualifications

• Significant experience designing and supporting integrated master data processes in SAP environments.
• Experience collaborating with ABAP developers to design, standardize, and implement data solutions.
• Proven ability to analyze large data sets and drive data quality improvements.

Responsibilities

• Analyze and design integrated master data processes that support manufacturing, procurement, and production operations.
• Lead and coordinate design discussions across Production Operations and technical teams.
• Configure SAP S/4HANA modules (MM, PLMSI, MDG, and PEO) to support master data creation and governance.
• Author and maintain functional specifications for enhancements and integrations.
• Collaborate with ABAP developers and architects to deliver integrated solutions.
• Support data migration, validation, and conversion during system cutovers and transitions.
• Develop documentation, testing procedures, and end-user training for master data management.

Skills

SAP S/4HANA

MDG

Data governance

ABAP collaboration

Tools

Jira

SAP Focused Build

Job description

PlanIT Group, LLC is seeking an experienced SAP Master Data professional to design and optimize master data processes across manufacturing operations. You will collaborate with ABAP developers and technical architects to ensure data integrity during deployments and migrations.

The role focuses on SAP S/4HANA modules (MM, MDG, PLMSI, PEO), governance, and data quality improvements, with emphasis on delivering integrated solutions and robust data strategies.