Data Analyst Intern (Process Improvement & Automation)

Beschreibung:

Work Flexibility: Hybrid

Stryker is one of the world's leading medical technology companies. We are seeking an analytical and tech-savvy student to join our Supply Chain East Asia team. In this role, you will play a crucial part in modernizing our workflows. You will get your hands on real operational data and have the opportunity to propose and build automation solutions that directly improve our business processes.

Essential duties & responsibilities:

Key Responsibilities:
* Analyze supply chain and operational data to identify bottlenecks and uncover opportunities for process improvement.
* Assist in designing, proposing, and implementing technology and automation solutions (e.g., using tools like Power Automate, Power BI, or similar platforms) to streamline departmental workflows.
* Collaborate with the team to translate data insights into actionable operational strategies.
* Engage directly with team members to understand pain points and test your automated solutions in real scenarios.

What You Will Experience:
* Real Hands-On Experience: Build solutions that will actually be used by the team. See the direct impact of your data analysis and automation projects.
* 1-on-1 Buddy System: A dedicated senior team member will closely mentor you, providing technical guidance and professional advice.
* Exclusive Career Guidance: Gain valuable insights with a special session on career paths in Data Analytics, Supply Chain, and the stable, high-growth Healthcare industry.
* Global Environment: Work in a supportive, innovative culture that values fresh perspectives and technological integration.

Education & Professional Qualification
* Currently pursuing a Bachelor's degree in Data Science, Engineering, Computer Science, Statistics, Supply Chain, or a related field.
* Familiarity with data management and visualization tools (e.g., Advanced Excel, Power BI).
* Interest or basic knowledge in workflow automation tools (e.g., Power Automate) is highly preferred.
* Strong analytical mindset with a passion for solving complex problems.
* Good command of English and strong teamwork skills.

Travel Percentage: 0