Trainee (m/f/d)

ANDRITZ; Graz; On-site; EUR 26,000 - 31,000; Part time

Benefits offered by this job

Part-time continuation after intern­-/

Flexible working hours

Subsidized company restaurant

Parking and public access

Job summary

ANDRITZ in Graz offers a 3-month internship in our Supply Chain Team, with a possible ongoing minor employment. You will support data analytics, analyze procurement and processes, and develop dashboards to drive efficiency using Celonis, AI, and automation.

You will collaborate with Procurement, Logistics, and Quality teams, contribute to digital transformation projects, and gain hands-on experience in supply chain optimization. Fluency in English is expected; German is a plus.

Qualifications

• Ongoing studies in a related field with an interest in data‑driven improvement.
• Experience or coursework in data analytics or process optimization is desirable.
• Willingness to work with digital tools and automation in a supply chain context.

Responsibilities

• Support data analytics initiatives within the Operational Excellence Team in Supply Chain Austria.
• Analyze procurement and supply chain processes using Celonis and process mining methodologies.
• Identify inefficiencies and automation opportunities across purchasing and operations.
• Develop dashboards, reports and KPIs to increase process transparency.
• Apply AI-based tools to optimize workflows and support decision making.
• Collaborate with Procurement, Logistics, Quality and Operational Excellence.

Skills

Analytical thinking

Data-driven optimization

Teamwork

Communication

Interest in AI

Education

Ongoing studies in Business Administration or related field

Industrial Engineering / Supply Chain / Data Analytics related

Tools

Celonis

Power BI

SQL

Python

Job description

We offer a 3-month Internship in our Supply Chain Team in Graz - including the opportunity for an ongoing minor employment.

About the Position

We are looking for a highly motivated intern to support our Supply Chain Management Austria team in driving digital transformation, process excellence, and data-driven decision-making.
This role offers hands‑on experience in analyzing supply chain processes, identifying improvement opportunities, and implementing innovative solutions using Celonis, Artificial Intelligence, and automation technologies.
You will work directly with experienced supply chain professionals and contribute to real business improvement projects with measurable impact.

Your Tasks

• Support data analytics initiatives within the Operational Excellence Team in Supply Chain Management Austria.
• Analyze procurement and supply chain processes using Celonis and process mining methodologies.
• Identify inefficiencies, bottlenecks, and automation opportunities across purchasing and operational processes.
• Conduct value stream analyses and support continuous improvement initiatives.
• Develop dashboards, reports, and performance indicators to increase process transparency.
• Apply AI‑based tools and analytics to optimize workflows and support decision‑making.
• Participate in automation projects for procurement and supply chain processes.
• Support the implementation of digital solutions and process standardization initiatives.
• Collaborate with stakeholders across Procurement, Logistics, Quality, and Operational Excellence.
• Prepare management presentations, analyses, and recommendations for improvement projects.
• Contribute to strategic initiatives focused on efficiency, cost reduction, and digital transformation.

Your Profile

• Ongoing studies in Business Administration, Industrial Engineering, Supply Chain Management, Data Analytics, Information Systems, Computer Science, or a related field.
• Strong analytical thinking and interest in data‑driven process optimization.
• Affinity for digital technologies, AI applications, and automation.
• Practical experience gained through internships, university projects, research activities, or student jobs in data analytics, process improvement, supply chain management, procurement, operational excellence, or digital transformation is highly desirable.
• First experience with data analysis tools such as Excel, Power BI, SQL, Python, Celonis, or similar is advantageous.
• Initial hands‑on experience with process mining, automation, business intelligence, machine learning, AI applications, or continuous improvement projects is considered a strong advantage.
• Interest in supply chain management, procurement, and operational excellence.
• Structured, independent, and solution‑oriented working style.
• Strong communication and teamwork skills.
• Good English skills; German is an advantage.

Job description:

We offer a 3-month Internship in our Supply Chain Team in Graz - including the opportunity for an ongoing minor employment.

About the Position

We are looking for a highly motivated intern to support our Supply Chain Management Austria team in driving digital transformation, process excellence, and data-driven decision-making.
This role offers hands‑on experience in analyzing supply chain processes, identifying improvement opportunities, and implementing innovative solutions using Celonis, Artificial Intelligence, and automation technologies.
You will work directly with experienced supply chain professionals and contribute to real business improvement projects with measurable impact.

Your Tasks

• Support data analytics initiatives within the Operational Excellence Team in Supply Chain Management Austria.
• Analyze procurement and supply chain processes using Celonis and process mining methodologies.
• Identify inefficiencies, bottlenecks, and automation opportunities across purchasing and operational processes.
• Conduct value stream analyses and support continuous improvement initiatives.
• Develop dashboards, reports, and performance indicators to increase process transparency.
• Apply AI‑based tools and analytics to optimize workflows and support decision‑making.
• Participate in automation projects for procurement and supply chain processes.
• Support the implementation of digital solutions and process standardization initiatives.
• Collaborate with stakeholders across Procurement, Logistics, Quality, and Operational Excellence.
• Prepare management presentations, analyses, and recommendations for improvement projects.
• Contribute to strategic initiatives focused on efficiency, cost reduction, and digital transformation.

Profile description:

Your Profile

• Ongoing studies in Business Administration, Industrial Engineering, Supply Chain Management, Data Analytics, Information Systems, Computer Science, or a related field.
• Strong analytical thinking and interest in data‑driven process optimization.
• Affinity for digital technologies, AI applications, and automation.
• Practical experience gained through internships, university projects, research activities, or student jobs in data analytics, process improvement, supply chain management, procurement, operational excellence, or digital transformation is highly desirable.
• First experience with data analysis tools such as Excel, Power BI, SQL, Python, Celonis, or similar is advantageous.
• Initial hands‑on experience with process mining, automation, business intelligence, machine learning, AI applications, or continuous improvement projects is considered a strong advantage.
• Interest in supply chain management, procurement, and operational excellence.
• Structured, independent, and solution‑oriented working style.
• Strong communication and teamwork skills.
• Good English skills; German is an advantage.

We offer:

What We Offer

• Direct involvement in strategic digitalization and AI initiatives.
• Practical experience with Celonis Process Mining, AI applications, and procurement process automation.
• Opportunity to work on real supply chain improvement projects with measurable business impact.
• Collaboration with senior supply chain and operational excellence experts.
• Dynamic international environment within a leading industrial company.
• Possibility of continuing employment on a part‑time basis after successful completion of the internship.
• Flexible working hours compatible with your studies.
• Various employee discounts
• Subsidized company restaurant
• Parking spaces & public accessibility

In Austria we are legally obliged to announce at least a gross monthly salary of € 2.568,80 for this position. Depending on qualifications and professional experience we offer you a market‑based salary.