Requirements
Bachelor's degree in Business Administration, IT, AI, Data Science, Chemical Engineering, Chemistry, or Science.Fresh graduates are welcome to apply.Strong interest in AI, Data Analytics, and Quality.Good knowledge of Excel; Power BI, SQL, or Python is a plus.Strong analytical, problem-solving, and communication skills.Good command of English.
Description
Job PurposeSupport the Quality Assurance function by using data analysis, digital tools, and AI-driven solutions to monitor quality performance, identify trends, support root-cause analysis, and contribute to continuous improvement across the business.Key ResponsibilitiesAnalyze quality data to identify trends, gaps, and improvement opportunities.Prepare quality reports, dashboards, and KPIs using Excel and Power BI.Support CAPA, Root Cause Analysis, and non-conformance analysis.Use AI and data analytics tools to improve quality monitoring and reporting.Support data-driven quality and continuous improvement initiatives.Collaborate with QA, QC, Production, R&D, and IT teams on data and quality projects.Ensure accuracy and consistency of quality data and reports.