Equipment Software Intern: Data Dashboards

Robert Bosch Semiconductor Penang Sdn Bhd; Bayan Lepas; On-site; MYR 13,000 - 20,000; Full time

Job summary

Robert Bosch Semiconductor Penang Sdn Bhd offers an internship in the Equipment Engineering Department focused on software development for maintenance analytics. You will analyze the ticketing system, extract and model data with SMT line, machine, and technician data, and help design a centralized dashboard to show Open, pending, and closed tickets.

Ideal candidates are pursuing a degree in Data Science, Computer Science, or Engineering, have SQL experience, and are familiar with BI tools like

Qualifications

• Experience with databases and SQL.
• Tableau or PowerBI knowledge is advantageous but not required.
• Strong analytical and problem-solving skills with a passion for big data.
• Interest in manufacturing operations, smart factory, or Industry 4.0.
• Currently pursuing a degree in Data Science, Computer Science, Engineering, or related field.
• Preferably able to commit fully for at least 5 months (full-time internship).

Responsibilities

• Understand and analyze the existing maintenance ticketing system, including ticket lifecycle, data structure, and access methods.
• Extract, integrate, and model maintenance ticket data with SMT line, machine, and technician master data.
• Design and develop a centralized maintenance operations dashboard showing Open, pending, and closed tickets.
• Assist with technician assignment, availability, and workload distribution.
• Track response time, repair duration (MTTR), and ticket aging.
• Analyze downtime trends by SMT line, machine, and failure category.
• Support transition to a centralized technician support model by visualizing cross-line performance.
• Define, implement, and track key maintenance KPIs aligned with targets.

Job description

Robert Bosch Semiconductor Penang Sdn Bhd offers an internship in the Equipment Engineering Department focused on software development for maintenance analytics. You will analyze the ticketing system, extract and model data with SMT line, machine, and technician data, and help design a centralized dashboard to show Open, pending, and closed tickets.

Ideal candidates are pursuing a degree in Data Science, Computer Science, or Engineering, have SQL experience, and are familiar with BI tools like