Manufacturing Process Analyst / Engineer (m/f/d)

Project overview

Manufacturing Process Analyst / Engineer (m/f/d)

Reference: 314f7bc8-0178-47be-98bd-37676f1944b4

Responsibilities

• Identify & Solve Gaps: Analyze production processes to uncover limitations, root causes, and risks in process robustness, control strategy, and equipment
• Drive Improvements: Develop and implement actionable solutions—ranging from digital tools and new technologies to equipment upgrades and workflow enhancements
• Control Strategies & Data: Monitor production KPIs, detect early deviations using control loops, and implement impactful in-process quality controls
• Testing & Ramp-up: Plan and execute Design of Experiments (DoE) across lab and manufacturing environments, supporting the scale-up of new production lines
• Shop-Floor Collaboration: Partner closely with shop-floor teams, technicians, and cross-functional stakeholders to align practical reality with engineering solutions
• Compliance & Documentation: Create and maintain robust process documentation, change records, and work instructions in line with GxP standards

Requirements

Main advantages:

• Educational background in Engineering (Mechanical, Mechatronics, Automation, Electrical, Micro/Precision Engineering), Physics, Materials Science, or equivalent practical experience
• Hands-on technical experience in complex automated production environments, ideally involving robotics, high-precision assembly, precision dispensing, joining technologies, or delicate component handling
• Relevant industry experience in Medical Devices, Semiconductors, Precision Mechanics, Automotive, Watchmaking, Machinery, or comparable high-precision manufacturing environments; experience in regulated industries is an advantage
• Strong shop-floor and GxP mindset, with a pragmatic, hands-on approach to working in production environments and a commitment to structured technical documentation
• Data and digital skills, including practical experience with at least one programming language such as Python or R and/or modern digital tools and AI-supported workflows
• Strong interpersonal and collaboration skills, with the ability to work effectively with shop-floor technicians, ask targeted technical questions, and communicate analytical findings to engineers and cross-functional stakeholders
• Agile and cross-functional mindset, with experience or strong familiarity with frameworks such as Scrum, Kanban, or PI Planning
• Continuous improvement and problem-solving capabilities, ideally using Lean Six Sigma approaches and tools such as SIPOC, Value Stream Mapping, or structured Root Cause Analysis
• Professional fluency in English and German, minimum B2 level in both languages
• Dynamic and innovative market environment
• A very renowned company

Project details

asap

12 MM+

• Start: ab sofort
• Duration: 12 Monate
• Remote: onsite
• Location: Zug, Schweiz, CH
• Languages: English, German

Source notes

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