Senior Executive - Data Management

Job Description

- - - - - - - - - - - - Product data management Verifies the accuracy and consistency of the data collected before encoding it in the information systems (Group Referential for Articles, ...). Analyzes the impact on other processes (sales forecasts, product deployment, marketing, ...) and coordinates actions if necessary. Ensures that data providers (Marketing, Technical Department, etc.) respect data processing procedures and report cases of incorrect data. Enters/updates data (item codes, considering homologations, managing assimilation, ...), ensuring that they comply and that the appropriate level of quality is maintained. Cleans up obsolete, unused, incorrect, or duplicate data. Optimizes the data of its perimeter to limit the number of references present in the Supply Chain processes (impact on stocks). Send the information necessary for the proper management of stocks in factory warehouses (storage instructions according to item codes). Identifies rejects (notably BESHEB and AL rejects) and manages the corrections in the information systems. Quality of product data Controls data quality according to the defined framework (standards, instructions, quality rules, ...). Identifies the needs for the evolution of quality controls to improve the detection of non-quality. Problem solving Analyzes operational problems and incidents. Manages resolutions and corrective actions. Methods of work Applies the methods and practices necessary to manage the complete life cycle of product data from its creation to its complete cessation. Contributes to continuous improvement (processes, tools, organization, operating procedures, ...) to improve data management and quality (Progress Plan). Technical Expertise SQL Basic MS EXCEL Advanced Level MC Access Beginner/Advanced Level (Good to have) Power BI (Good to have) Recommended Educational Qualifications Graduate or post-graduate Recommended Years Of Experience 3 + years Show more Show less