Piper Companies
Data Analyst
Piper Companies - Greensboro, North Carolina, us, 27497
Work at Piper Companies
Overview
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Overview
Piper Companies
is seeking a detail-oriented and experienced
Data Analyst
to support a global SAP transformation initiative. This role will be part of the Unify Program's Data Tower, focusing on data migration deliverables across multiple functional areas. The ideal candidate will have hands-on experience with ERP data migration, data cleansing, and mapping using industry-standard tools.
Key Responsibilities of the Data Analyst: Support data migration activities across functional areas including GSC, MM, PM, PP, LE, eWM, QM, Finance/Procurement, and Commercial Collaborate with business data owners, SMEs, and functional teams to understand source data and "To Be" requirements Capture and document migration requirements in Data Object Structure (DOS) and Data Definition and Migration (DDAM) formats Lead and support data mapping workshops, defining transformation rules and source-to-target mappings Coordinate defect resolution and validation efforts during migration cycles Ensure alignment with MDG and interface architecture in collaboration with technical teams Qualifications of the Data Analyst:
3+ years of experience in data cleansing and data migration for ERP implementations Experience with ERP systems (SAP S/4HANA preferred, but not required) Proficiency with data tools such as Syniti, SAP Data Services (DS), or Informatica Strong understanding of data mapping and transformation logic in ERP contexts Effective communicator with ability to collaborate across business and IT teams Experience supporting large-scale ERP transformation programs Compensation and Benefits:
Rate: $68-75/hr Location: Hybrid (Greensboro, NC preferred) Benefits: Full medical, dental, vision, 401(k), and sick leave as required by law
Applications will be accepted for at least 30 days from the posting date (8/4).
Keywords:
SAP, S/4HANA, Data Analyst, Data Migration, Syniti, SAP DS, Informatica, ERP Transformation, Data Mapping, MDG, DOS, DDAM, Unify Program, CPG, Tobacco
#LI-KI1 #LI-HYBRID
is seeking a detail-oriented and experienced
Data Analyst
to support a global SAP transformation initiative. This role will be part of the Unify Program's Data Tower, focusing on data migration deliverables across multiple functional areas. The ideal candidate will have hands-on experience with ERP data migration, data cleansing, and mapping using industry-standard tools.
Key Responsibilities of the Data Analyst: Support data migration activities across functional areas including GSC, MM, PM, PP, LE, eWM, QM, Finance/Procurement, and Commercial Collaborate with business data owners, SMEs, and functional teams to understand source data and "To Be" requirements Capture and document migration requirements in Data Object Structure (DOS) and Data Definition and Migration (DDAM) formats Lead and support data mapping workshops, defining transformation rules and source-to-target mappings Coordinate defect resolution and validation efforts during migration cycles Ensure alignment with MDG and interface architecture in collaboration with technical teams Qualifications of the Data Analyst:
3+ years of experience in data cleansing and data migration for ERP implementations Experience with ERP systems (SAP S/4HANA preferred, but not required) Proficiency with data tools such as Syniti, SAP Data Services (DS), or Informatica Strong understanding of data mapping and transformation logic in ERP contexts Effective communicator with ability to collaborate across business and IT teams Experience supporting large-scale ERP transformation programs Compensation and Benefits:
Rate: $68-75/hr Location: Hybrid (Greensboro, NC preferred) Benefits: Full medical, dental, vision, 401(k), and sick leave as required by law
Applications will be accepted for at least 30 days from the posting date (8/4).
Keywords:
SAP, S/4HANA, Data Analyst, Data Migration, Syniti, SAP DS, Informatica, ERP Transformation, Data Mapping, MDG, DOS, DDAM, Unify Program, CPG, Tobacco
#LI-KI1 #LI-HYBRID