SAP Data Analyst (Pharma)
Gaithersburg, Maryland
Job Id:
161460
Job Category:
Job Location:
Gaithersburg, Maryland
Security Clearance:
No Clearance
Business Unit:
Piper Companies
Division:
Piper Clinical Solutions
Position Owner:
Brittany Kaplan
Piper Companies is seeking a highly skilled SAP Data Analyst to join a biopharmaceutical client out of Gaithersburg, MD. The SAP Data Analyst will be responsible for data integrity, compliance, and system optimization across GMP operations.
Responsibilities of the SAP Data Analyst:
· Maintain and manage SAP master data (materials, BOMs, recipes, resources, vendors, batch/lot data) to support GMP manufacturing and supply chain operations
· Execute data governance activities, ensuring completeness, accuracy, and compliance with GMP/GxP, 21 CFR Part 11, and internal SOPs
· Extract, validate, and analyze large datasets from SAP (HANA/ECC/S4) to support operational insights, CAPAs, deviations, and process improvement initiatives
· Collaborate with cross‑functional teams to define data requirements, troubleshoot issues, and enhance SAP workflows and data quality
· Develop and maintain reporting dashboards using Power BI, Tableau, SAP BW, or similar tools
· Support new product introductions, change control, and part setup/extension processes in SAP
Qualifications of the SAP Data Analyst:
· 2+ years of experience in SAP data analysis or master data management
· Hands on experience with SAP Modules such as MM, PP, QM, MDM, MDG, EWM, etc.
· Strong data analysis skills including SQL, Excel (advanced), and data visualization tools
· Must have experience working in a GMP/GxP or highly regulated environment
· Familiarity with SAP S/4HANA and integrated systems (LIMS, QMS, MES)
· Understanding of batch management, master data governance, and data lifecycle controls
· Experience with ETL tools, data migration, or system validation
· Bachelor’s degree in related field
Compensation for the SAP Data Analyst:
· Salary: $90,000 - $130,000 annually, commensurate with experience (***based on years of relevant experience***)
· Comprehensive Benefits: Medical, Dental, Vision (through Cigna), 401k, Sick leave required as by law, PTO, Holidays
This job opens for applications on 3/6/2026. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords:
SAP, SAP S/4HANA, S4 HANA, HANA, S4, SAP ECC, ECC, SAP HANA, SAP MasterData, SAP Master Data, Master Data, Material Master, Vendor Master, Business Partner, BOM, Bill of Materials, Data Analysis, Data Management, LIMS, Laboratory Information Management System, Recipes, Material Management, Production Planning, MM, PP, QM, WM/EM, WMEM, WM EM, Warehouse Inventory, Warehouse, Inventory, Production, Quality Management, SAP MDG, MDG, Master Data Governance, Data Migration, Data Validation, Data Governance, Change Control, Workflow Management, UAT, User Support, Troubleshooting, Data Entry, Data Interpretation, Data Query, Queries, GMP, GxP, Good Manufacturing Practice, Manufacturing, Production, Biotech, Pharma, Pharmaceutical, Medical Device, 21 CFR Part 11, Batch Management, Lot Management, Material Specifications, Raw Materials, Components, Consumables, Recipe Governance, QC, QA, Data Alignment, Quality Assurance, Stability Studies, Deviation, CAPA, Data Support, Data System, LIMS Integration, Supply Chain, Tech Transfer, SQL, PowerBI, Power BI, Data Visualization, Tableau, Excel, Advanced Excel, Pivot Table, VLOOKUP, Macros, Data Cleansing, Data Integrity, KPI Reporting, Dashboard Development, Data Modeling, Data Quality Audits, Root Cause Analysis, RCA, ETL, Data Transformation, Supply Chain Operations, Manufacturing Operations, Quality Control, Regulatory Compliance, Inventory Management, Procurement, Production Planning, SOP Development, SOP, Standard Operating Procedure, Cross-functional Collaboration, Workflow Optimization, Master Data Governance Framework, Data Stewardship, Multi-site Data Harmonization, System Integration, ERP, Continuous Improvement, Lean Six Sigma, Process Automation, Enterprise ERP, Systems Applications Product, Systems Applications & Product, Data Processing
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