Data analyst and digitalization in quality operations

We are looking for a motivated intern to support the digital transformation of Quality Operations processes, helping the team move from manual Excel-based reporting and data manipulation towards automated, scalable, and data-driven solutions. The intern will work closely with Quality team to improve data visibility, reporting efficiency, KPI monitoring, and decision-making processes. The role combines data analysis, process improvement, business intelligence, and digitalization initiatives.

• Support the digitalization of Quality Operations processes.
• Consolidate and analyze data from multiple sources (SAP, Power BI, SharePoint Lists, Power Apps, Excel files, and other business systems).
• Help transform manual reporting processes into automated and sustainable solutions.
• Assist in develop and maintain dashboards and reports using Power BI.
• Support the monitoring of key Quality KPIs such as: Quality Release Lead Time, Pending Quality Stock, Non Quality Events, Inspections Performance, Service Level Compliance
• Assist in data cleansing, validation, and harmonization activities.
• Support in identification of opportunities to reduce manual effort through automation and workflow optimization.
• Support the creation of data models and reporting structures to facilitate business decision-making.
• Collaborate with different teams to understand operational needs
• Document processes and digital solutions.
• Participate in continuous improvement projects related to Quality and Supply Chain operations.

• Currently pursuing studies in: Business Analytics, Information Systems, Data Science or a related field
• Strong analytical and problem-solving skills
• Good knowledge of Excel and data handling
• Good knowledge of Power BI or similar visualization tools
• knowledge of Power Automate for workflow automation and process optimization
• Experience working with SharePoint Lists and Microsoft 365 collaboration tools
• Interest in digital transformation and process optimization
• Proactive attitude and willingness to learn
• Good communication skills and ability to work independently
• Будет плюсом: Basic understanding of databases, automation tools, or data analysis is a plus

• Hands-on experience in digital transformation projects
• Exposure to real business operations and decision-making
• Opportunity to develop technical and analytical skills
• Collaborative and dynamic work environment
• Possibility to contribute directly to efficiency improvements
• Understanding of Quality Control (QC) and Quality Assurance (QA) processes.
• End-to-end quality workflows, including inspections, quality release, documentation management, deviation tracking, and KPI monitoring.
• How quality data is used to support operational performance, compliance, risk management, and continuous improvement initiatives