Sap Engineer

Job Description

Role & responsibilities Conduct data analysis for customer creation, including the creation of new customers and reviewing created data. Analyze and update customer address, payment terms, and other relevant changes, followed by a review of updated changes. Perform data analysis for MM, CMIR, and MPN, including data upload and review of created data. Analyze requested changes, process RFA, and review changes/updates processed for MM, CMIR, and MPN. Conduct data analysis for vendor creation, including the creation of new vendors and reviewing created data. Analyze and update vendor address, payment terms, and other relevant changes, followed by a review of updated changes. Perform analysis of data received for VIR/PIR, including creation and review of the data created, and manage the CRU process. Analyze changes for VIR, update changes, and review processed changes/updates. Conduct impact analysis for MM STD/MAP price changes, including PT checks and updating new prices if applicable. Process RFA on impact and update prices after receiving approval, including reporting BOMs check and CRU price impact analysis. Analyze reporting BOMs and CRU prices, conduct impact analysis, and process RFA if applicable. Update CRU analysis of stock/impact and review updated CRU prices. Perform all data analysis related to BOMs, including creation and CRU process, followed by a review. Conduct ECM analysis, process changes, and manage CRU and impact analysis as applicable. Perform inventory adjustments through data analysis, updating movement types as applicable, and conducting reviews. Analyze data for planned orders to work orders, including conversion and review. Download requested customers' MMs, conduct analysis, process requested updates, and review. Execute LSMW after correcting/adjusting the master data received. Preferred candidate profile Bachelors degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis with a strong emphasis on SAP software. Proficiency in additional data analysis tools such as Excel, SQL, and data visualization software (e.g., Tableau, Power BI). Strong analytical and problem-solving skills with attention to detail and the ability to work with large datasets. Excellent communication skills to effectively present data insights to both technical and non-technical stakeholders.