Data Analyst Intern (onsite) ~ Holland, MI
Company Overview
At Haworth, we're not just creating office furniture; we're shaping dynamic workspaces. As a global leader in workspace solutions, we're on a journey to redefine the future of work. Headquartered in Holland Michigan, Haworth is a family-owned global powerhouse at the forefront of innovation and sustainable design in the workspace interiors industry. Here, you'll have access to state of the art resources, collaborate with cross functional teams of passionate innovators, and experience a blend of global reach. Whether you're developing new manufacturing processes, implementing smart factory solutions, or designing tomorrow's workspace solutions, you'll be empowered to make a lasting impact.
Job Overview
We are currently looking for paid Data Analyst Interns to join our team in Holland, MI . This position will be working onsite at the Haworth Corporate Headquarters .
Get ready for an adventurous summer as a Haworth intern! You'll join a cohort of around 50 other dynamic interns for a 12-week program packed with hands on learning. After a few weeks you’ll be attending NeoCon, the largest commercial design event in the world. There you will get an insider's look at all the latest industry trends and innovations. Throughout the summer you will dive into real projects that will give you a taste of what it's like to work in a leading business and manufacturing environment.
Each week brings new experiences as a group. Sharpen your skills with interactive workshops on networking, public speaking, and using AI tools in a business environment. Connect with mentors and see all areas of the office and manufacturing processes. Then unwind at intern only social events where you can meet people from all corners of the business. By the end of the summer, you'll leave with real skills, an expanded professional network, and memories to last a lifetime. This is your chance to take your career to new heights!
As a Data Analyst intern, you will also have the opportunity to assist with a variety of exciting projects including: Building segmentation models, data cataloguing, data literacy campaigns, AI/ML exploration, and business process automation.
Required Qualifications
Preferred Qualifications
Ideally, you have also demonstrated the following:
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