SAP Data Analyst
Salary undisclosed
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Job Description:
We are seeking an experienced SAP Data Analyst to support data integration and ensure seamless implementation of SAP projects in compliance with clients standard. The ideal candidate will have a strong background in data architecture, extraction, and integration within SAP environments.
Key Responsibilities:
- Ensure data integration aligns with clients standard during SAP project implementation.
- Develop, construct, test, and maintain data architectures based on business requirements.
- Troubleshoot and resolve data and integration issues throughout the SAP project lifecycle.
- Manage data extraction, pre-load, data loading, and post-load processes in SAP projects.
Requirements:
- Proven experience in SAP project implementation with a focus on data integration.
- Strong knowledge of data extraction, transformation, and loading (ETL) in SAP environments.
- Hands-on experience with SAP data structures, data migration tools, and methodologies.
- Ability to diagnose and resolve data-related issues efficiently.
- Excellent problem-solving and analytical skills.
Job Description:
We are seeking an experienced SAP Data Analyst to support data integration and ensure seamless implementation of SAP projects in compliance with clients standard. The ideal candidate will have a strong background in data architecture, extraction, and integration within SAP environments.
Key Responsibilities:
- Ensure data integration aligns with clients standard during SAP project implementation.
- Develop, construct, test, and maintain data architectures based on business requirements.
- Troubleshoot and resolve data and integration issues throughout the SAP project lifecycle.
- Manage data extraction, pre-load, data loading, and post-load processes in SAP projects.
Requirements:
- Proven experience in SAP project implementation with a focus on data integration.
- Strong knowledge of data extraction, transformation, and loading (ETL) in SAP environments.
- Hands-on experience with SAP data structures, data migration tools, and methodologies.
- Ability to diagnose and resolve data-related issues efficiently.
- Excellent problem-solving and analytical skills.