About this role
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function:
Career ProgramsJob Sub Function:
Non-LDP Intern/Co-OpJob Category:
Career ProgramAll Job Posting Locations:
Shanghai, ChinaJob Description:
Supply Chain Intern Job Description
职责：
协助供应链部门的数据整理和汇报（库存汇总，销售数据整理，退货单据整理等）
支持供应链数据项目的数据开发清理和测试。
跟进供应链的到货，贴标，清关状态。
协助日常采购分析，流程梳理和文件归档
要求：
全日制本科或者硕士在读 （供应链管理或数据分析相关专业更佳）
可以每周来公司工作3-4天
需具备一定Excel能力，有数据分析处理经验更佳。
Participates in internship or co-op program for temporary duration.
Assists andContributes to assigned team for duration of temporary internship/co-op.
Receives guidance, training, and mentoring from colleagues in planning and carrying out activities and assignments.
Required Skills:
Preferred Skills:
Other facts
About Johnson & Johnson Innovative Medicine
At Johnson & Johnson Innovative Medicine, we innovate with purpose, to lead where medicine is going. The experiences of patients around the world inform and inspire our science-based innovations, which continue to change and save lives. Applying rigorous science with compassion, we confidently address the most complex diseases of our time and develop the potential medicines of tomorrow. We are continuously working to develop treatments, aspiring to find cures, pioneering the path from lab to life, and championing patients every step of the way. https://bit.ly/3reuMvK
What you'll do
- The intern will assist the supply chain department with data organization and reporting, including inventory summaries, sales data compilation, and return document management. They will also support data development, cleaning, and testing for supply chain data projects.
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