Overview
Skills
Job Details
Job Title- SAP Data Analyst
Remote
Long Term Contract
Role Overview:
We are seeking a highly skilled Data Analyst to support our SAP Data Migration and Conversion efforts, with a focus on manufacturing data. This role plays a pivotal part in executing end-to-end ETL (Extraction, Transformation, Loading) processes during the migration from SAP ECC to SAP ECC and S/4HANA environments.
The ideal candidate will have strong techno-functional expertise across SAP modules including MM, PP, QM, EWM, and significant experience with complex data objects such as Material Master, PIR, and Source Lists (SL), BOM, Routing, Work Center, Production Versions, Inventory, Inspection Plans etc. This position requires hands-on experience in data extraction, relevance assessment, mapping, transformation, validation, and post-load reconciliation.
Key Responsibilities:
- Perform full lifecycle data analysis and migration activities from SAP ECC to ECC/S/4HANA.
- Analyze and manage critical manufacturing data objects such as:
- Material Master, Classification, Purchasing Info Records (PIR), Source Lists, Standard Text
- BOM, Routing, Work Center, Production Versions
- Inspection Plans, Master Inspection Characteristics, Inspection Types, Catalog Code Groups
- EWM-specific objects e.g., Storage Bins, Inventory etc.
- Lead and facilitate data mapping discussions, partnering with SMEs and business stakeholders to validate transformation logic and functional requirements.
- Define and document relevance rules and field mapping logic in close collaboration with business and technical stakeholders.
- Work with developers to build, test, and validate Load Ready Files (LRFs) and ETL pipelines.
- Support data extraction using SAP tools such as BODS, LSMW, LTMC, IDOCs, or custom programs.
- Design and execute data validation scripts and exception reports to ensure integrity, completeness, and compliance with business rules.
- Drive pre-load and post-load validations with business teams, ensuring alignment with expected outcomes
- Load data into the target systems i.e. ECC and S/4 using LTMC or LSMW
- Troubleshoot and resolve data issues across mock cycles, testing phases, and cutover activities.
- Collaborate with stakeholders to define and apply data cleansing, standardization, and governance protocols.
- Maintain detailed documentation for mappings, data dictionaries, validation logs, and error resolution processes.
- Support go-live cutover activities and provide post-migration stabilization and production support.
Required Skills & Experience:
- Deep understanding of SAP ECC and/or S/4HANA data structures, tables, and business processes.
- 5 8 years of hands-on experience in SAP data migration projects.
- Proven experience with data objects in the following SAP modules:
- MM Material Master, Classification, Class, Characteristics, Material Types, PIR, Source List etc.
- PP BOM, Routings, Production Versions, Work Centers
- QM Inspection plans, MICs, Inspection types, Catalog Code Group, Selected Sets, Selected Sets Code
- EWM Warehouse tasks, inventory, Storage Bin, Fixed Bin, Packaging Specs
- Experience determining field-level relevance, extraction rules, and business transformation logic.
- Experience loading data into ECC, S/4 HANA using LSMW and LTMC and Talend experience is a plus.
- Strong techno-functional acumen, with the ability to translate between business needs and technical execution.
- Familiarity with SAP migration tools: BODS, LSMW, LTMC, SAP Migration Cockpit.
- Proficiency in SQL, Excel, Jira and data profiling/cleansing tools.
- Experience developing and troubleshooting Load Ready Files (LRFs) and supporting ETL execution.
- Solid understanding of data quality management, governance, and cleansing techniques.
- Excellent analytical, documentation, and problem-solving skills.
- Strong communication and stakeholder engagement capabilities; English proficiency (C1 level or higher).
- Experience with interfaces and integration touchpoints across systems is a plus.
Comfortable working independently and in cross-functional teams, managing priorities with accountability.
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