Darum lohnt es sich
Oracle ERP) Define and validate data transformation logic Contribute to migration scope definition, including transactional and master data Data Cleansing & Harmonization Drive data cleansing activities with business stakeholders across supply chain functions Align data with global standards, naming conventions, and reference values Support harmonization of key supply chain data objects (e.g., materials, suppliers, locations) Migration Execution Support Support data extraction, transformation, and load (ETL) activities Validate data during migration cycles and testing phases Perform data reconciliation and post-load validation Stakeholder Collaboration Work closely with supply chain teams (data owners), IT (data extraction & integration), and implementation partners Act as an interface between business and technical teams within transformation programs Your skills: Must-have Strong experience in data analysis and data migration projects within supply chain environments Hands‑on experience with Oracle ERP systems, especially in the context of supply chain transformation projects Proven experience with data mapping, transformation logic, and data quality assessment Strong Excel and data analysis/tooling skills Experience with ETL tools (e.g., CloverDX or similar) Experience in global supply chain data environments Knowledge of data governance frameworks (e.g., DAMA) Our offer to you: An exciting environment and cutting‑edge projects at global brands and hidden champions Personal and individual support by our Account Managers and HR team Be part of the Nash direct team and connect with your colleagues throughout Germany. #J-18808-Ljbffr For our client, a leading global technology company in the semiconductor industry, we are looking for a Data Analyst (m/f/d) (Oracle ERP) in Böblingen.
Your Role: The Data Analyst supports supply chain transformation initiatives by ensuring data readiness for Oracle ERP implementation, with a strong focus on data analysis, cleansing, transformation, and migration across supply chain processes.
Your tasks: Data Analysis & Data Quality Analyze supply chain data across source systems (e.g., legacy ERP systems, local databases) Assess data completeness, consistency, and quality issues Identify gaps, inconsistencies, and harmonization needs across supply chain domains (e.g., procurement, inventory, logistics) Data Migration Preparation Support source-to-target data mapping (legacy ?
