About NFW

NFW is a circularity platform for plastic-free performance materials. NFW follows three Ground Rules in everything we develop: start well, stay clean, end well. While nearly everything in the built world relies on some type of plastic that began as crude oil and that will become plastic pollution, we are establishing a new material reality. We believe all materials should begin and end as nutrients, ready for the next growth cycle—true circularity.         

Our multi-material platform serves a wide range of industries—from fashion and footwear to automotive and upholstery. NFW technology embeds seamlessly into existing supply chains, enabling the world’s most iconic brands to design and scale products with high-performance, plastic-free materials. NFW makes global brands more sustainable, empowering them to create without plastics. Alongside the boldest brands and visionary designers, we are pioneering a naturally circular, post-oil economy.

NFW is a company of trailblazers, innovators and bold thinkers, committed to reinventing the way things are made. We never stop learning. We are fiercely curious about the world and how to improve it for everyone. We offer competitive salary, paid vacation and paid leave time, flexible work-life balance, great colleagues and more!

The Manufacturing Data Engineer

The Manufacturing Data Engineer provides engineering expertise for advanced analytics, conceptual studies, developing predictive models, feasibility analysis, creating and optimizing infrastructure and data pipelines of manufacturing processes to facilitate data driven communication across the organization to ensure fact-based decision making and compound readiness. The Manufacturing Data Engineer provides critical insight to management with recommendations to improve the utilization of personnel and equipment and to deliver increased quality output and efficiency of product. Works with Product Development, Business Development and Engineering to support the Production Team in order to deliver the highest quality product at the lowest cost.

Responsibilities:

•  Examine and evaluate large-scale production data from several sources and assembly processes in order to derive actionable metrics and insights.
•  Assist engineering personnel and management with failure investigations, containment measures, continuous improvement programs, etc. to achieve significant increases in production quality and output.
•  Supporting the Ops Team in ensuring data integrity, cleanliness, and consistency across NFW product line databases
•  Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
•  Organize and oversee Data Management requirement analysis meetings with cross functional stakeholders and possess a deep comprehension of both probabilistic and deterministic matching techniques
•  Responsible for the rationalization and management of data across the manufacturing lifecycle
•  Develop and enhance data collection procedures and reporting tools in a high volume manufacturing setting in close collaboration with controls, process, and quality engineers.
•  Automate analyses and authoring pipelines via SQL, Python, Tableau, and similar software
•  Using dashboards and reports, find, examine, and decipher trends or patterns in large, intricate data sets to tell the story.
•  Improve the foundational data systems by collaborating with important cross-functional stakeholders
•  Work with management to prioritize business and information needs

Requirements

• Bachelor's degree or higher in a related field such as Data Science, Computer Science, Mathematics, or equivalent professional experience
• Experience with data management & integrity - cleaning, filtering, sorting data
• Strong in SQL and Data analysis/formulas in Excel (VLookup,etc.)
• Excellent business communication skills and a collaborative approach
• Strong analytical and problem-solving skills
• Advanced PowerBi or other data visualization tool (i.e. Tableau, Looker) skillset
• 2+ Years in strategic, planning, or workforce management analytics role within a manufacturing environment
• Working knowledge of developing linear programming models to solve real world problems in operations, supply chain, logistics or scheduling
• Attention to detail - ability to identify discrepancies in data proactively

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Frequently required to converse with others. Ability to view computer screen or other variously assigned work activities. Frequent use of hands to grasp, handle, or feel. Sitting or standing for extended periods of time. Kneeling, crouching, stooping ability. Regular standing, walking, and reaching. Ability to occasionally lift up to 15 pounds. Primarily operates in office, lab and manufacturing environments. Routinely uses standard office equipment such as computers, keyboards, phones, photocopiers, filing cabinets. Occasionally required to use personal protective equipment. Ability to travel to business sites. 

Equal Employment Opportunity Statement

The Company is dedicated to building a diverse and inclusive team in which members of all backgrounds can contribute and thrive. In compliance with state and federal law, the Company does not discriminate in employment or administration of its programs and policies on the basis of race, color, sex, national origin, religion, age, disability, marital status, sexual orientation, gender identity or expression, ancestry, or military service. Our policy reflects and affirms the Company’s commitment to the principles of fair employment and the elimination of all unlawful discriminatory practices.