Part-Time Working Student (Industrial Automation & Service Analytics)

Job ID

523734

Posted since

24-Sep-2026

Organization

Digital Industries

Field of work

Internal Services

Company

Siemens Sanayi ve Ticaret Anonim Sirketi

Experience level

Student (Not Yet Graduated)

Job type

Part-time

Work mode

Hybrid (Remote/Office)

Employment type

Fixed Term

Location(s)

• Istanbul - Istanbul - Türkiye

We are looking for a Part-time Working Student (Industrial Automation & Service Analytics) to join our Industry Field Services Group. The position will be based in Kartal and requires flexibility to travel to various locations across Turkey when needed.

The successful candidate will support the analysis and interpretation of field service data related to Industrial Automation and CNC systems and contribute to data-driven performance improvement initiatives within service operations. The role combines technical field exposure with analytical and process-oriented responsibilities aimed at improving operational efficiency, service quality, and performance visibility.

What are my responsibilities?

• Gain exposure to commissioning, fault intervention, and preventive maintenance activities to understand service processes on site.

• Support service cost, resource utilization, and capacity planning analyses.

• Contribute to service contract, pricing, and business case evaluations.

• Support process mapping and standardization of service workflows.

• Prepare management presentations based on operational data.

• Collect, structure, and analyze field service data.

• Support the development of performance reports, dashboards, and KPI tracking tools.

• Contribute to data-driven process optimization initiatives within service operations.

• Assist in root cause analysis activities using structured problem-solving and analytical methods.

• Support continuous improvement initiatives by identifying trends and performance gaps.

• Collaborate with field engineers and technical teams to ensure accurate data collection and interpretation.

• Support reporting, documentation, and operational planning activities.

• Assist in identifying service improvement and sales support opportunities based on data analysis.

What do I need to qualify for this job?

• 3rd or 4th year undergraduate student or master’s student in Electrical and/or Electronics Engineering, Control Engineering, Management Engineering, Industrial Engineering, or a related field.

• Very good command of English, both written and spoken.

• Able to work minimum 3 days per week during academic semesters.

• Interest in industrial technologies and service business; technical background is not required but willingness to learn is expected.

• Analytical thinking skills and structured working approach.

• Good command of Excel (pivot tables, formulas); experience with Power BI, SQL or Python is a plus.

• Willingness to learn, strong communication skills, and ability to work in a team environment.

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality.

As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.

Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.

We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.

Please find more information from our web site:

https://new.siemens.com/tr/tr.html

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