In your new role you will:
- Be part of a global pioneer team to implement Scheduling Optimization solutions to enable next level of smart manufacturing on dispatching &scheduling
- Develop, systemize and deploy ETL (Extract, Transform, Load) models to enable digital twins for manufacturing facilities optimization
- Responsible for the technical improvements of Data Automation- components
- Participate in the data exploration, and be responsible for improving data quality and productivity, and including massive data processing, data analysis, data validations
- Summarize and clearly communicate data analysis assumptions and results
- Collaborate with stakeholders to take ambiguous problem statement, refine the scope of the analysis, and use the results to drive informed decisions
- Provide user consultancy support & training for Data Automation
- Key-Interface to multi-disciplinary stakeholders like production, supply chain, industrial engineering and capacity planning
You are best equipped for this task if you have:
- Bachelor’s Degree in Computer Science / Data Science / Industrial Engineering is preferred
- 1 to 5 years of related working experience is preferred but fresh graduates are welcome to apply for entry level
- Knowledge on Data Automation like ETL (Extract, Transform, Load)modeling is preferred
- Experience in Manufacturing Execution System (MES) and ETL Tools will be an advantage
- Excellent communication and interpersonal skills, and able to work both independently and a team player in a global setup
- Ability to identify and build abstractions and tools to solve recurring challenge
- Good analytical and problem solving skills
