
Data Analysis Intern
Posted Sep 16

Posted Sep 16
This is a fully remote position, open to applicants in Brazil.
• Assist in the upkeep, organization, validation, and updating of data utilized by the PAD Quality team.
• Facilitate SAP BO reporting tasks, encompassing data extraction, updating recurring reports, confirming data accuracy, and refining reporting logic.
• Develop, maintain, and enhance Power BI dashboards, which includes data preparation, updating visualizations, improving usability, and supporting management reporting.
• Contribute to the Quality Management System through data management, dashboards, AI tools, automation workflows, and digital solutions.
• Aid in the creation of AI-driven solutions, including prompt engineering, testing, use-case documentation, and implementation support.
• Assist with Power Automate workflows and automation projects, including testing, documentation, data entry, monitoring, and identifying areas for improvement.
• Engage in basic programming, script creation, data processing, and tool enhancement under team supervision.
• Liaise with the Quality team and stakeholders to clarify data requirements, reporting expectations, dashboard updates, and potential enhancements.
• Proficiency in data management, dashboard development, Artificial Intelligence tools, and prompt engineering is essential.
• Familiarity with SAP BO, Power BI, Excel, Power Automate, programming principles, or script development is advantageous.
• Advanced proficiency in English is necessary for effective communication; fluency in English is considered beneficial.
• Demonstrated resilience, flexibility, and a willingness to operate in an international setting.
• Strong analytical capabilities with an interest in data management, reporting, dashboards, automation, and AI-enhanced workflows.
• Solid understanding of data organization, data quality, reporting logic, and structured documentation practices.
• A methodical, dependable, and independent working style with a keen eye for detail and a commitment to data accuracy.
• Capability to provide and receive constructive feedback.
• Proficient in preparing structured documentation, summaries, and presentations.
• Currently enrolled in a degree program in Engineering, Computer Science, Information Systems, Data Science, Business Administration, or a related technical discipline.
• Opportunity to work in a dynamic and innovative environment.
• Exposure to advanced technologies and methodologies in data management and AI.
• Collaboration with a diverse team of professionals across various fields.
• Development of skills in data analysis, reporting, and automation.
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