Description
Logitech is seeking a forward-thinking Field Quality Analyst (Artificial Intelligence and Systems Integration) intern to bridge the gap between Quality Assurance and Advanced Analytics.
In this role, you will spearhead the digital transformation of our Quality Issue Management System (QIMS), migrating our robust CAPA (Corrective and Preventive Action) frameworks from Oracle PLM Quality Cloud to Jira. Beyond the migration, you will be instrumental in implementing AI-driven applications to analyze quality data, identifying patterns that allow us to move from reactive fixes to predictive preventive measures.
Your Contribution:
- Design and manage the development of an AI-powered Quality Issue Management Systems platform that centralizes company-wide Quality issues.
- Collect and analyze relevant QI data across many sources to identify and integrate high-value features that enhance platform functionality.
- Partner with cross-functional leadership to capture business intelligence needs and translate them into detailed technical specifications.
- Lead the platform transition by collaborating with IT to build, configure, and optimize the QIMS environment within Jira Cloud, ensuring alignment with global quality standards.
- Execute rigorous testing and UAT (User Acceptance Testing) protocols to qualify the Jira project, working directly with IT developers to resolve technical bottlenecks.
- Implement AI/Machine Learning integrations to mine historical QIMS data, enabling rapid, automated "Lessons Learned" retrieval to prevent the recurrence of known issues.
- Build a CQ library platform to house CQ Issues, CAPA, CIP projects and leveraging AI in notebookLM.
Additional Responsibilities:
- Regular collaboration with a dedicated mentor to refine strategies and assess performance
- Working closely with data, IT, and AI teams to develop scalable analytical solutions
- Communication in English with global teams across different time zones
- Being on-site at the Logitech Hsinchu office
Key Qualifications:
- Currently pursuing or recently completed a Bachelor’s degree in any Engineering major
- Strong interest and knowledge in AI applications & tools, data analytics, dashboards and data visualization
- Knowledge of machine learning concepts, large language models and automation tools
- An analytical mindset and ability to think critically about data and insights
- Self-motivated with the ability to work independently as well as collaboratively in a global team
- Strong communication skills in English
- Highly organized, commitment to meeting deadlines, able to prioritize effectively with strong time management skills and continuously learning new skills