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 Information :
- 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.
Remote Work :
No
Employment Type :
Intern
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 dataDesign and d...
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 Information :
- 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.
Remote Work :
No
Employment Type :
Intern
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