Analyste des processus d'ingénierie // Process Engineering Analyst

Description

The Engineering Process Analyst is the connective tissue between Engineering, Operations, Procurement, Planning, and Manufacturing—the person who ensures that great designs flow seamlessly into efficient, reliable, and data-driven production.

• Partner with IT, MES, and Enterprise Applications teams to enable automation, data validation, and AI-assisted insights.
• Work alongside passionate experts who are redefining how sustainable HVAC systems are built.
• Develop lightweight automation scripts or tools (Python, VBA, Power Automate, or SQL) to reduce manual effort and improve visibility.
• Ensure consistency and alignment between system data, documentation, and shop-floor reality.
• Implemented cross-functional workflows with embedded KPIs and automated checkpoints.
• Design future-state processes that simplify, integrate, and scale using Lean and Six Sigma methodologies.
• Leverage modern tools—from ERP and MES integration to AI-enabled analytics—to shape the company’s operational DNA.
• Lead User Acceptance Testing (UAT) and iterative rollout of process improvements.
• Develop standard work, control plans, and governance mechanisms to anchor repeatability and quality.
• Facilitate Kaizen events, Gemba walks, and Root Cause Analysis (RCA) sessions with multidisciplinary teams.
• Support initiatives such as digital traceability, data validation, or AI-driven reporting.
• Run pilots, monitor results, gather feedback, and drive rapid iteration cycles.
• Analyze and map end-to-end workflows between departments including Engineering, Procurement, Planning, and Manufacturing.
• Support program and project managers in achieving on-time, on-budget deliverables.
• Translate process designs into system logic within ERP, MES, PLM, and Quality systems.
• Partner with automation leads to enhance CAD-to-CAM or design-to-floor transitions.
• Identify inefficiencies, handoff issues, and root causes; propose measurable solutions.
• Track process performance via dashboards, metrics, and KPIs (e.g., ECO cycle time, first-pass yield).
• Ensure process readiness for new product introductions, configuration changes, or design transfers.
• Coordinate feedback loops from manufacturing and service back into design and planning.
• Build and maintain robust process documentation, SOPs, and onboarding materials.
• Live dashboards monitoring cycle time, compliance, throughput, and data integrity.
• Act as the interface among Engineering, Operations, Supply Chain, Quality, and IT.

Requirements

2. Systems Integration & Automation

This is not a documentation or oversight role; it’s for a builder who wants to design, implement, and own cross-functional processes that scale a fast-growing manufacturing organization. You’ll leverage your analytical mindset, systems understanding, and comfort with data and light coding (Python, Power Query, or similar) to turn inefficiencies into opportunities for automation and measurable impact.

• Complete Engineering-to-Production Process Blueprint (future-state workflows and governance).
• Highly self-motivated, outcome-driven, and resilient—thrives on making real impact in fast-moving environments.
• 5+ years in process engineering, operations analysis, or manufacturing systems roles within an engineered-to-order environment.
• Awareness of AI tools for process optimization, analytics, and documentation assistance.
• Collaborative problem solver – bridges engineering, operations, and IT with clarity and diplomacy.
• Analytical systems thinker – connects data, process, and technology to business value.
• Builder mentality – converts process theory into practical, tested, and adopted solutions.
• Strong communication, facilitation, and cross-functional alignment skills.
• Foundational coding or scripting ability (Python, SQL, VBA, Power Automate, or equivalent).
• Digital & automation mindset – comfortable using AI tools and light scripting to enhance efficiency.
• Exposure to AI-driven process improvement tools, data modeling, or machine-learning-based analytics.
• Proficiency in process design tools (Visio, Miro, Lucidchart) and data analytics (Excel, Power BI, or similar).
• Familiarity with ECO/ECR, revision control standards, and document management best practices.
• Up-to-date process playbooks and training materials accessible to all stakeholders.
• Understanding of ISO 9001, NC/CAPA, and compliance frameworks.
• Experience in HVAC, thermal systems, or complex capital equipment manufacturing.
• Lean Six Sigma Green Belt or higher.
• Experience designing and implementing workflows across ERP, MES, and PLM platforms.
• Bachelor’s degree in Industrial, Mechanical, Manufacturing, or Systems Engineering (or equivalent).
• Hands-on experience with Lean / Six Sigma / Root Cause Analysis techniques.
• Quantified improvements in process efficiency, error reduction, and cross-team coordination.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance