Industrial Engineer (d/m/f) - limited until 06/2027

ams OSRAM; Premstätten; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Performance-based compensation

Career development

Job summary

AMS-OSRAM Premstätten sucht eine erfahrene Kapazitätsplanerin bzw. -planer zur Entwicklung und Pflege von Modellen für strategische, taktische und operative Fertigungsplanung.

Sie führen Engpassanalysen, Szenariensimulationen und Kapazitätsbewertungen durch und übersetzen Nachfrageschätzungen in Ausstattungs- und Infrastrukturbedarf. Sie steuern CAPEX-Planung, ROI-Analysen und Cost of Ownership, unterstützen Layout-Optimierung und erstellen Dashboards, KPIs und Entscheidungsmodelle.

Qualifications

• Master's degree in a related field and 3+ years of experience in capacity planning or factory planning.
• Strong data analysis, KPI development, and data visualization skills.
• Experience with CAPEX evaluations and business-case development.
• English fluency and ability to translate data into recommendations.

Responsibilities

• Develop and maintain capacity models for strategic, tactical, and operational planning.
• Perform bottleneck analyses, scenario simulations, and capacity assessments.
• Translate forecasts into equipment, facilities, and infrastructure needs.
• Drive CAPEX planning with ROI and total-cost-of-ownership analyses.
• Support layout optimization to improve space utilization and efficiency.
• Develop dashboards, KPIs, forecasts, and decision-support models.

Skills

Capacity planning

Bottleneck analysis

Demand forecasting

ROI / TCO analysis

Data visualization

Python / SQL

English fluency

Analytical thinking

Communication skills

Education

Master's degree in Industrial Engineering

Dipl.-Ing. in related field (Physics, Data Science, Production Engineering)

Tools

Spotfire

Power BI

Python

SQL

Job description

• Develop and maintain capacity models to support strategic, tactical, and operational manufacturing planning
• Perform bottleneck analyses, scenario simulations, and capacity assessments
• Translate demand forecasts into equipment, facility, and infrastructure requirements
• Drive CAPEX planning by developing business cases and performing ROI and Cost of Ownership evaluations
• Support layout optimization initiatives to improve space utilization and operational efficiency
• Develop and maintain dashboards, KPIs, forecasts, and decision-support models to enable data-driven capacity and investment decisions
• Master's degree (M.Sc.) or Dipl.-Ing. in Industrial Engineering, Physics, Data Science, Production Engineering, or a related field
• Several (3+) years of experience in e.g. Industrial Engineering, Capacity Planning, Factory Planning, Semiconductor Manufacturing, or a related field
• Proficiency in production data analysis, KPI development, and data visualization tools such as Spotfire, Power BI, Python, SQL, or similar platforms
• Experience in developing business cases and conducting CAPEX evaluations, including ROI and Cost of Ownership analyses
• Practical experience or accredited Micro-Credentials in Artificial Intelligence (AI), Data Science, Advanced Analytics, Digital Manufacturing, or related fields are considered a strong advantage
• Strong analytical, problem-solving, and communication skills with the ability to translate complex data into actionable business recommendations
• Fluency in English

Job description

• Develop and maintain capacity models to support strategic, tactical, and operational manufacturing planning
• Perform bottleneck analyses, scenario simulations, and capacity assessments
• Translate demand forecasts into equipment, facility, and infrastructure requirements
• Drive CAPEX planning by developing business cases and performing ROI and Cost of Ownership evaluations
• Support layout optimization initiatives to improve space utilization and operational efficiency
• Develop and maintain dashboards, KPIs, forecasts, and decision-support models to enable data-driven capacity and investment decisions

Profile description

• Master's degree (M.Sc.) or Dipl.-Ing. in Industrial Engineering, Physics, Data Science, Production Engineering, or a related field
• Several (3+) years of experience in e.g. Industrial Engineering, Capacity Planning, Factory Planning, Semiconductor Manufacturing, or a related field
• Proficiency in production data analysis, KPI development, and data visualization tools such as Spotfire, Power BI, Python, SQL, or similar platforms
• Experience in developing business cases and conducting CAPEX evaluations, including ROI and Cost of Ownership analyses
• Practical experience or accredited Micro-Credentials in Artificial Intelligence (AI), Data Science, Advanced Analytics, Digital Manufacturing, or related fields are considered a strong advantage
• Strong analytical, problem-solving, and communication skills with the ability to translate complex data into actionable business recommendations
• Fluency in English

We offer

We offer competitive salaries and additional benefits based on your performance, experience and qualification.

The employment is in accordance with the collective salary and wage agreement for employees of the electrical and electronics industry, employment group G (https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/).

We offer a higher compensation depending on your expertise and skills.

Stefanie Kleierl

[e-mail]

Find out more about us on https://ams-osram.com