Methods Engineer

  • Contrattuale
  • Tempo pieno
  • Almeno 5 anni di esperienza
  • Laurea triennale
  • PROCESS & METHODS ENGINEER

Compito

Position Overview

We are seeking a data-driven Methods Engineer for a 3-month contract position to support the measurement, analysis, monitoring, and continuous improvement of automated production processes. In this role, you will establish robust performance tracking across 3 key robotic stations, analyze operational deviations (ALEAs), and lead data-backed initiatives to optimize efficiency.

The primary objective of this project is to identify core factors of process deviation to help the facility consistently meet its current 9-day takt time target, while developing actionable improvements to eventually achieve a 2-day takt time.

Key Responsibilities

  • Process Analysis & Optimization: Measure, monitor, and evaluate performance across 3 robotic stations to eliminate bottlenecks and reduce production delays.

  • Takt Time Reduction: Analyze operational data to identify root causes of process deviation, driving targeted actions to maintain a 9-day takt time and build the roadmap toward a 2-day takt time.

  • Operational Issue Tracking: Identify, track, and categorize recurring operational issues (ALEAs) to implement sustainable corrective solutions.

  • Data & Performance Monitoring: Establish continuous performance tracking mechanisms using statistical analysis and data visualization tools to inform shop-floor and management decision-making.

  • Cross-Functional Collaboration: Partner with manufacturing operations and engineering teams to present findings, align on priority interventions, and guide implementation.

Profilo

Qualifications & Key Skills

  • Experience: 3–5 years of hands-on experience in manufacturing operations, industrial performance analysis, or data analytics within a production environment.

  • Domain Knowledge: Past experience working with robotic, automated, or semi-automated manufacturing environments is highly desirable (optional but preferred).

  • Technical Proficiency:

    • Advanced skills in Microsoft Excel.

    • Proficiency with data visualization tools (e.g., Power BI, Tableau, or equivalent).

    • Strong foundation in statistical analysis and industrial engineering methodologies.

  • Core Competencies: Exceptional problem-solving skills, structured analytical thinking, and effective stakeholder management skills.