✨ AI Summary
The Master Data Operations Specialist will be responsible for ensuring the proper collection and processing of master data according to data quality standards. This role involves handling inquiries and requests for master data support, coordinating with stakeholders for data processing and deactivation, and following up on database system issues with the IT department. The specialist will also coordinate with finance, legal, and other supporting teams to comply with regulatory requirements and maintain master databases, ensuring data integrity. Key responsibilities include validating data accuracy and quality using manual and automated tools, reporting on data accuracy, investigating and resolving data gaps and issues, and ensuring data collection adheres to stated quality standards. The role also involves escalating user or system errors to the relevant business units.
Requirements
Educational Requirements: Bachelor’s degree in any relevant field.Special Certification or Training Required: Basic knowledge of supply chain managementData management, Data Quality, Data analysisERP system knowledge is a plus.Required Industry Experience: Minimum 1 Years of Experience.Technological Requirements:MS Excel: advancedMS Power point: V.GoodMS Word: GoodPower BI: Good Language Requirements: English: V. Good.
Description
Ensure the proper master data collection and processing based on data quality standards.Master Data Management and Collection: Handling all BUs inquiries & requests for master data support. Coordinating with different stakeholders for data processing and deactivation Follow up database system related issues with IT dept. Coordinating with finance, legal or any supporting teams to comply with different regulators requirements in master database. Maintain master databases and conduct regular maintenance to ensure data integrity.Master Data Management quality and integrity: Validating master data accuracy and quality from different data sources, via both manual and automated tools. Reporting the data accuracy based on the validated data either by manual validation or automated tools. Investigating master data gaps and issues data issues and taking data cleansing decisions. Ensure that the data is collected based on stated quality standards and support different BUs users and data sources to adhere to same standards. Investigating & escalating users/system mistakes/errors to concerned BUs.