Alle Bewerber sollten die folgende Stellenbeschreibung und die Informationen sorgfältig lesen, bevor sie sich bewerben. 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 ( ). We offer a higher compensation depending on your expertise and skills. xhdzyng Stefanie Kleierl -OSRAM.COM Find out more about us on J-18808-Ljbffr
Industrial Engineer (d/m/f) - limited until 06/2027 Arbeitgeber: ams OSRAM
ams OSRAM in Österreich bietet eine dynamische und innovative Arbeitsumgebung, die es Ihnen ermöglicht, Ihre Fähigkeiten im Marketing auf ein neues Level zu heben. Mit einem starken Fokus auf Mitarbeiterentwicklung und einer offenen Unternehmenskultur fördern wir kreatives Denken und Zusammenarbeit. Genießen Sie die Vorteile eines internationalen Unternehmens, das Ihnen nicht nur spannende Projekte in zukunftsorientierten Technologien bietet, sondern auch die Möglichkeit, global zu reisen und sich beruflich weiterzuentwickeln.
