Manufacturing Engineering Analyst

General Motors

Analista de Engenharia de Manufatura apoiando desenvolvimento, validação e melhoria de processos automotivos na General Motors. Atuação híbrida em São Caetano do Sul com simulação, análise de dados e suporte à planta.

Posted 9/9/2026full-timeSão Caetano do Sul • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Manufacturing Engineering processes, including Stamping, Tooling, and Quality Assurance, while effectively utilizing data analysis and problem-solving skills to enhance productivity and reduce costs. Proficient in process documentation and collaboration across multiple teams to ensure successful project execution.

Highest-signal resume keywords

Manufacturing EngineeringProcess DocumentationData AnalysisContinuous ImprovementSimulation Software

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Manufacturing ProcessesProblem-SolvingData AnalysisProcess OptimizationGD&TValidation ProcessesAutomationLean ManufacturingSix SigmaProduct Launches

Soft Skills

CollaborationCommunicationAdaptability

Tools & Technologies

Microsoft OfficeProcess SimulateNXAutoCADPower BIGoogle Workspace

Certifications & Qualifications

Valid Class B Driver’s License

Industry Keywords

Quality AssuranceStampingToolingBodyPaintPolymersAutomotivePFMEAPPAPDigital Manufacturing

About the role

Key responsibilities & impact

Support Manufacturing Engineering activities, contributing to the development, implementation, improvement, and validation of processes in Stamping, Tooling, Body, Paint, Polymers, and Quality Assurance.
Support the planning and implementation of processes, equipment, materials, and product changes.
Monitor tests, tryouts, validations, and launches of new programs, models, and colors.
Analyze process and product issues, identify root causes, and support the definition of corrective actions.
Prepare and update process documentation, including work instructions, control plans, PFMEAs, specifications, and technical reports.
Collect and analyze production, quality, material consumption, and process performance data.
Identify opportunities to reduce losses, improve productivity, standardize processes, and reduce costs.
Collaborate with Production, Quality, Maintenance, Safety, Purchasing, Logistics, Product Engineering, and suppliers.
Monitor plant activities and verify that processes, equipment, and materials are ready for production.
Support the management of project schedules, costs, investments, and deliverables.
Participate in technical meetings with local, regional, global, and supplier teams.
Analyze layouts, 3D models, and tooling concepts, ensuring machine access, quality, ergonomics, safety, and performance requirements.
Perform process and robotics simulations using software such as Process Simulate.

Requirements

What you’ll need

Bachelor’s degree in Mechanical, Manufacturing, Mechatronics, Chemical, Materials Engineering, or a related field.
Experience or internship in Manufacturing Engineering, Process Engineering, Quality, or an industrial environment. Automotive experience is a plus.
Basic knowledge of manufacturing processes, problem-solving, and data analysis.
Intermediate English proficiency for reading, communication, and participation in technical meetings.
Proficiency in Microsoft Office, especially Excel and PowerPoint.
Availability to work on the shop floor and monitor activities at plants and suppliers.
Availability to work different shifts when necessary.
Knowledge of tools such as PFMEA, control plans, PPAP, GVDP, BOP, BoO, and validation processes is preferred.
Knowledge of NX / TCenter.
Experience with simulation software such as Process Simulate.
Experience in Stamping, Tooling, Body, Paint, Polymers, or Quality Assurance.
Experience with product launches, continuous improvement, automation, or process development.
Knowledge of AutoCAD, simulation tools, Power BI, Lean Manufacturing, or Six Sigma.
Knowledge of artificial intelligence tools and their practical applications in engineering, manufacturing, data analysis, or productivity improvement.
Familiarity with data analysis, automation, programming, process optimization, or digital manufacturing concepts.
Knowledge of GD&T and dimensional capability/repeatability studies.
Basic Spanish.
Knowledge of Google Workspace.
Valid Class B driver’s license.

Benefits

Comp & perks

Hybrid work arrangement, with reporting to the designated location at least three times per week or as directed by the manager.
Travel required: less than 25%.