SAP Data Analyst
Siemens
IT, Data Science
Buenos Aires, Argentina
Posted on Jun 14, 2025
Job Description
Job ID
468021
Company
Siemens S.A.
Organization
Global Business Services
Job Family
Information Technology
Experience Level
Early Professional
Full Time / Part Time
Full-time
Contract Type
Permanent
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?
We are seeking a detail-oriented and technically capable SAP Data Analyst to support our team in managing and maintaining structured data within SAP and Excel. This role does not require configuration of SAP views or deep engineering knowledge, but rather a strong grasp of data handling, documentation, and system navigation.
Key Responsibilities:
- Manage and maintain SAP data structures related to sub-assemblies and Bills of Materials (BOMs)
- Process and coordinate BOM transfers between suppliers and internal systems
- Gather Engineering Change Notices (ECNs) data into system and manage closure process
- Maintain and update Excel-based technical data, including MCB tripping time
- Convert laboratory test data (PDF formats) into structured, analyzable formats
- Perform data entry and maintenance tasks for laboratory results and technical specifications
- Conduct basic BOM analysis and verification
- Support data quality initiatives and maintenance activities
Required Qualifications:
- Working knowledge of SAP systems
- Proficiency in Microsoft Excel (including data entry, formatting, and basic formulas)
- Ability to analyze and organize technical data from PDFs and lab reports
- Excellent attention to detail and organizational skills
- Excellent communication and documentation skills
- Comfortable working independently in a remote environment
- Advance level of English (must)