Manufacturing Engineering Analyst

General Motors

. Organize, consolidate, and interpret data from different sources, ensuring data quality and traceability .

Posted 10/22/2026full-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 data analysis, process improvement, and automation, utilizing tools such as Power BI and SQL. Capable of collaborating with cross-functional teams while adhering to safety, quality, and compliance standards.

Highest-signal resume keywords

Data AnalysisProcess ImprovementPower BISQLAutomation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisProcess EngineeringContinuous ImprovementReport AutomationPerformance IndicatorsData QualityData ConsolidationArtificial IntelligenceProductivity ToolsManufacturing Knowledge

Soft Skills

CollaborationCommunicationIndependent LearningStakeholder EngagementDocumentation

Tools & Technologies

Power BISQLPythonPower QueryGoogle Looker StudioGoogle BigQueryGoogle Colaboratory

Industry Keywords

ManufacturingProduction ProcessesOperational IndicatorsGovernance ActivitiesComplianceInformation Protection

Tech Stack

Tools & technologies

BigQueryPythonSQL

About the role

Key responsibilities & impact

Organize, consolidate, and interpret data from different sources, ensuring data quality and traceability
Develop and update reports, dashboards, and performance indicators
Identify opportunities for automation, simplification, and process improvement
Explore artificial intelligence, data analytics, and digital tools to increase productivity and improve the quality of analyses
Support governance activities, status meetings, and information consolidation with partner functions
Collaborate with stakeholders in Finance Strategy, AVD, Program Management, and other related areas
Document processes, lessons learned, assumptions, and results
Pursue independent learning of applicable processes and tools
Work in accordance with corporate principles of safety, quality, compliance, and information protection

Requirements

What you’ll need

Bachelor's degree in Engineering, preferably Industrial, Mechanical, Electrical, Automation Engineering, or a related field
Basic English proficiency
Basic theoretical knowledge of manufacturing, process engineering, data analysis, continuous improvement, or related topics
Initial understanding of practices, procedures, policies, and tools applicable to the area of responsibility
Basic or intermediate knowledge of productivity and data analysis tools
Availability to work in São Caetano do Sul
Intermediate English proficiency (a plus)
Knowledge of Power BI, SQL, Python, Power Query, Google Looker Studio, Google BigQuery, Google Colaboratory (Colab), or similar tools (a plus)
Academic or practical experience with production processes, operational indicators, report automation, or process improvement (a plus)
Familiarity with generative artificial intelligence applied to productivity, data analysis, and technical content creation (a plus)
Knowledge of systems used in manufacturing, production, quality, or maintenance (a plus)
A résumé with an active email address must be attached for the application to be considered

Benefits

Comp & perks

Applicants may be required to successfully complete role-related assessments and/or pre-employment screening prior to beginning employment
Reasonable accommodations available for individuals with disabilities