Stryker
Customer One Intern (Data Analyst) - Cary, IL
Cary, Illinois · Intern · Internship
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About the role
- As an intern, you won't just observe - you'll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare.
- People who seek out the hard projects and work to find just the right solutions. Teammates.
- Interns who propose innovative ideas and consistently exceed their performance objectives. Customer-oriented achievers.
Responsibilities
- Strong written and verbal communication skills, with proven ability to collaborate and build relationships
- Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
- Implement new ideas, be constantly challenged, and develop your skills
- Partners who listen to ideas, share thoughts and work together to move the business forward.
Requirements
- Currently pursuing a Bachelor's or Master's degree in a related field
- must remain enrolled in a degree-seeking program after the internship.
- Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.
- Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment.
Compensation
- $20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location
Benefits
- At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies.
Company info
- Data Intelligence - Develop dashboards and visualizations of internal datasets that support informed decision-making across business units and for customers.
- Be a part of an innovative team and culture
Visa & Work Authorization
- Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.
This listing is sourced directly from Stryker's careers page and normalized into a canonical job model.