SAP PP Data Functional Analyst
Greensboro, North Carolina
Job Id:
171083
Job Category:
Job Location:
Greensboro, North Carolina
Security Clearance:
No Clearance
Business Unit:
Piper Companies
Division:
Piper Enterprise Solutions
Position Owner:
Bailey Horne
Piper Companies is seeking an SAP PP Data Functional Analyst to join a leading organization undergoing a large-scale SAP transformation initiative. This role will support SAP Production Planning (PP) data migration activities, partnering with manufacturing, supply chain, and technical teams to ensure the successful conversion, validation, and deployment of critical production planning data into SAP S/4HANA. This is a long-term contract opportunity for an onsite position in Greensboro, NC.
Responsibilities of the SAP PP Data Functional Analyst:
· Lead and support SAP PP data migration activities from planning through cutover and go-live.
· Define migration strategies, data conversion approaches, deployment plans, and cutover activities for SAP transformation projects.
· Analyze legacy manufacturing and production planning data, identify data quality issues, and develop source-to-target mapping specifications.
· Coordinate with SAP functional teams, business stakeholders, and technical resources to define business rules, transformation requirements, and validation criteria.
· Support the migration and validation of key production planning master data, including Material Masters, BOMs, Routings, Work Centers, Production Versions, and MRP-related data.
· Execute data cleansing, profiling, validation, and reconciliation activities to ensure data accuracy and integrity.
· Investigate and resolve migration defects, data discrepancies, and reconciliation issues throughout the project lifecycle.
· Support production cutover activities, post-go-live validation, and hypercare efforts to ensure continuity of manufacturing operations.
Qualifications for the SAP PP Data Functional Analyst:
· Bachelor’s degree in Supply Chain Management, Manufacturing, Engineering, Information Technology, Business, or a related discipline.
· 5+ years of SAP PP functional experience supporting manufacturing and production planning operations.
· 3+ years of SAP data migration experience within SAP implementation, upgrade, or S/4HANA transformation projects.
· Experience supporting SAP ECC to S/4HANA migrations and participating in data conversion testing, mock cutovers, and go-live activities.
· Strong knowledge of SAP PP processes including MRP, Production Orders, Capacity Planning, BOMs, Routings, Demand Management, and Shop Floor Execution.
· Experience with data mapping, reconciliation, validation, and data quality management processes.
· Advanced Microsoft Excel skills; experience with SQL, Power BI, and SAP reporting tools preferred.
· Strong communication and stakeholder management skills with the ability to collaborate across business, manufacturing, and technical teams.
Compensation for the SAP PP Data Functional Analyst:
· Salary Range: $110,000 – $125,000/year
· Comprehensive Benefits: Medical, Dental, Vision, 401(k), and applicable sick leave
Keywords: SAP PP, SAP Production Planning, SAP Data Migration, SAP S/4HANA, SAP ECC, ECC to S/4HANA Migration, Data Conversion, Cutover, Go-Live, Hypercare, Legacy Data Analysis, Data Mapping, Source-to-Target Mapping, Data Transformation, Data Validation, Data Reconciliation, Data Profiling, Data Cleansing, Data Quality, Manufacturing Operations, Production Planning, Material Master, BOMs, Routings, Work Centers, Production Versions, MRP, Capacity Planning, Production Orders, Demand Management, Shop Floor Execution, Master Data, SAP Implementation, SAP Upgrade, S/4HANA Transformation, Mock Cutovers, Conversion Testing, Stakeholder Management, Business Rules, Functional Requirements, Manufacturing Systems, Supply Chain Management, SQL, Microsoft Excel, Power BI, SAP Reporting, Data Integrity, Manufacturing Execution, Post-Go-Live Validation, ERP.
#LI-BH1
#ONSITE
This job is open for applications on 8/1/2026 and will remain open for at least 30 days from the posting date