Descrição
Key Responsibilities
Industrial Engineering / Operations
- Monitor, analyze, and maintain process cycle times to ensure accuracy and alignment with production targets
- Develop and sustain labor standard times using time studies, work sampling, and data analysis
- Identify inefficiencies and implement process improvements to increase productivity, reduce waste, and improve quality
- Support production management by providing data-driven insights on throughput, bottlenecks, and resource utilization
- Collaborate with cross-functional teams (operations, maintenance, quality) to drive continuous improvement initiatives (Lean, Six Sigma, etc.)
- Assist with production engineering support, including line balancing, capacity analysis, and workflow optimization
- Track and report key performance indicators (KPIs) such as OEE, labor efficiency, and throughput
Computer Science / Digital Solutions
- Design, develop, and maintain operational dashboards to provide real-time performance visibility
- Build and support custom systems/tools to improve operational decision-making and workflow efficiency
- Automate data collection, analysis, and reporting processes to reduce manual effort and improve accuracy
- Integrate data from multiple sources (e.g., MES, ERP, shop floor systems) into usable formats for stakeholders
- Collaborate with operations teams to identify opportunities where technology can streamline processes
- Ensure data integrity, usability, and accessibility for operational reporting tools
- Continuously improve digital systems to align with evolving business needs
Qualifications
- Bachelor’s degree in Industrial Engineering, Computer Science, or related field (or equivalent experience)
- Strong understanding of manufacturing processes and production environments
- Experience with time studies, labor standards, and process optimization techniques
- Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar)
- Experience with data visualization tools (e.g., Power BI, Tableau, or similar)
- Knowledge of Lean Manufacturing, Six Sigma, or process improvement methodologies preferred
- Strong analytical, problem-solving, and communication skills
Key Competencies
- Data-driven decision making
- Process optimization and continuous improvement
- Cross-functional collaboration
- Systems thinking and workflow analysis
- Technical development and automation mindset
Impact of the Role
This role serves as a critical bridge between operations and technology, enabling smarter production decisions, improved efficiency, and enhanced visibility across the manufacturing environment. By combining engineering principles with digital innovation, the position directly contributes to increased productivity, reduced costs, and overall operational excellence.
