Data Analysis Intern

• Support the maintenance, organization, validation, and updating of data used by the PAD Quality team.
• Support SAP BO reporting, including data extraction, updating recurring reports, verifying data, and improving reporting logic.
• Create, maintain, and enhance Power BI dashboards, including data preparation, visualization updates, usability improvements, and support for management reporting.
• Support the Quality Management System through data, dashboards, AI tools, automation workflows, and digital solutions.
• Assist in developing AI-enabled solutions, including prompt engineering, testing, use-case documentation, and implementation support.
• Support Power Automate workflows and automation initiatives, including testing, documentation, data entry, monitoring, and identifying improvement opportunities.
• Contribute to basic programming, script creation, data processing, and tool improvements under the guidance of the team.
• Communicate with the Quality team and stakeholders to clarify data requirements, reporting needs, dashboard updates, and improvement opportunities.

• Knowledge of data management, dashboard development, Artificial Intelligence tools, and prompt engineering is required.
• Knowledge of SAP BO, Power BI, Excel, Power Automate, programming concepts, or script development is considered an advantage.
• Advanced English proficiency is required for communication; fluency in English is considered an advantage.
• Resilience, flexibility, and willingness to work in an international environment.
• Strong analytical skills and an interest in data management, reporting, dashboards, automation, and AI-supported workflows.
• Good understanding of data organization, data quality, reporting logic, and structured documentation.
• Systematic, reliable, and independent working style, with attention to detail and a focus on data accuracy.
• Ability to give and receive feedback constructively.
• Ability to prepare structured documentation, summaries, and presentations.
• Currently pursuing a degree in Engineering, Computer Science, Information Systems, Data Science, Business Administration, or a related technical field.