Description

Job Description:

• Understand and analyze the existing maintenance ticketing system, including ticket lifecycle, data structure, and available data access methods (e.g. database or API)
• Extract, integrate, and model maintenance ticket data together with SMT line, machine, and technician master data
• Design and develop a centralized maintenance operations dashboard providing visibility on: Open, pending, and closed tickets
• Technician assignment, availability, and workload distribution
• Response time, repair duration (MTTR), and ticket aging
• Downtime trends by SMT line, machine, and failure category
• Support the transition to a centralized technician support model by visualizing cross-line support performance and identifying manpower imbalance
• Define, implement, and track key maintenance KPIs aligned with operational targets requirements

Qualifications

Qualifications

• Proficiency in JavaScript, along with basic knowledge of HTML and CSS, is required.
• Experience with databases and SQL
• Knowledge of Tableau or PowerBI is an added advantage but not compulsory.
• Strong analytical and problem-solving skills, with a passion for working with big data.
• Interest in manufacturing operations, smart factory, or Industry 4.0
• Currently pursuing a degree in Data Science, Computer Science, Engineering, or a related field.
• Fluent in spoken & written English
• Preferably able to commit fully for at least 5 months (full-time internship).

Additional Info

• Internship positions available for intake starting January 2025 and onward.
• Please include internship start date and end date in the application.
• Open to Local Students who are required to complete an internship as part of their academic program.

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.