Work, at its best, is the wonder of what human beings can make possible. At Steelcase, we help people do their best work by creating places that work better.

For over a century, we have designed, manufactured and partnered with the world’s leading organizations to create an expansive range of furnishings and solutions for all the places where work happens — including learning, health and working from home.

We are driven to deeply understand the changing realities of work that our customers face. Through human-centered research and critical design-thinking, we uncover insights that lead us to innovation and breakthrough design.

Our solutions come to life through talented design professionals and our Steelcase dealer community, who provide local expertise and tailored experiences with the global power of Steelcase. And because we recognize that we must do our best work for the places we all share, we stand together for people and the planet — using our business as a force for good to help the world work better.

We are hiring a Product Data Analyst to facilitate and coordinate the creation and maintenance of product data models for new and existing Steelcase Products as required by Marketing, Engineering, Sales, PIC, Sourcing, Manufacturing Operations, and Distribution.

What You Will Be Doing:

Your goals in this position are to:
Design, Load, and Validate the data representation of these product models on the MDM, PLM, ERP, PIM, DAM systems in support of the product development, order fulfillment, life-cycle maintenance, customer service, specials, pricing, order planning and scheduling, inventory management and electronic catalog processes.  Ensure consistency between database and publications.  The emphasis is on product data integrity, providing efficient order specification, pricing, manufacturing, and shipping for improved product profitability and dealer/customer satisfaction.

Your Future Team:

You will be joining an energetic, self-empowered team with a focus on continuously trying to improve both our internal and external customer experiences.

Who You Are:

• An innovative, proactive thinker
• A lifetime learner
• Curious and self-driven
• Someone who Proactively finds ways to enhance our team’s accuracy, reliability, and agility
• Confident to ask questions in a cross functional team
• Committed to meeting goals in terms of timing and quality
• Comfortable with change
• Focused on continuous improvement and root cause analysis
• With Excellent problem-solving skills and techniques
• Communicates clearly and effectively with a wide variety of internal and external groups, including management
• Able to analyze, conceptualize, and logically organize database information with a high degree of precision, accuracy, and speed
• Someone who Comprehensively understands SAP Variant Configuration methods and techniques as employed at Steelcase, Inc. including the ability to develop rules containing executable code
• With Thorough understanding of the Product Development Process, the departments involved and the associated information flow
• Proficiency in the use of data modeling techniques in product data management systems (MDM, PLM, ERP, PIM and/or DAM), Microsoft Office Excel, Access, and various Mass Loading Tools for Data Loading
• The ability to read and understand various technical documentation (such Marketing and Engineering documents) and to make recommendations of their application as it relates to data and processes
• Proficiency in the use of Steelcase applications, Microsoft Office, Azure DevOps, Tableau.

What you will be learning:

• Thorough knowledge of the techniques, methods and data standards employed to represent product information on the product data management systems (MDM, PLM, ERP, PIM and/or DAM). Electronic Catalog, and Specification Guides.
• Thorough comprehension and knowledge of the business processes and systems which interact and utilize product information (Order Entry, Pricing, PIC, Manufacturing Operations, Distribution etc.)

Required Skills and Competencies:

• Four-year degree in a related field preferred (i.e., Information Systems, Supply Chain, and Engineering).