Technology Intern

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 Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

All Job Posting Locations:
Shanghai, China

Job Description:

Job Responsibilities:


* Assist in the development and implementation of advanced analytical models and algorithms to solve complex business problems.


* Analyze large datasets to identify trends, patterns, and insights that can drive strategic decision-making.


* Collaborate with cross-functional teams to understand their data needs and provide analytical support.


* Prepare visualizations and presentations to effectively communicate findings and recommendations to stakeholders.


* Participate in data cleaning, preprocessing, and management tasks to ensure data quality and reliability.


* Support ongoing data analysis projects and contribute to the continuous improvement of analytics processes.

Qualifications:


* Currently pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.


* Familiarity with statistical analysis tools and programming languages such as Python, R, or SQL.


* Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.


* Strong analytical and problem-solving skills with a keen attention to detail.


* Excellent communication skills to convey technical information to non-technical audiences.


* Ability to work both independently and as part of a team in a fast-paced environment.

Benefits:


* Hands-on experience in advanced analytics within a professional setting.


* Opportunity to work with experienced professionals in the field.


* Networking opportunities and potential for future employment.