Manufacturing Digital & Analytics Leader

s digital & analytics representative to define the governance and support analytics deployment on the factory site and support in term of analytics competency development. 4. Fulfill MMR (Minimum Mandatory Requirement) Smart Factory to get Advanced Certification 5. Reduce Non-Value Added (NVA) process for organization through digital development and enhance existing process for each department. 6. Improve Energy Management to be more advance through advanced Analytics. 7. Improve Assets Performance Management to be more advance through advanced Analytics. 8. Develop Digital Best Practices as part of Continuous Improvement and Actively share in Analytics Community and share best practices to other sites. 9. Deploy digital analytics solution on data operation to strengthen collaboration across East Asia 10. Support organization to develop process governance for each KPI and standard documentation.

• Developing the Web Based Application (.Net, PHP, HTML, LEAP)

• Developing Database (Ms. SQL, My SQL)

• Developing RPA (Robotic Process Automation)

• Tableau or BI Dashboard creation

• Data Analytic (Business Analyst)

• Manufacturing Dashboard

Qualifications

• Digital & Analytics Projects

• Advanced analytics through AI & Gen AI

• Experience Lean Office deployment through digital solutions

• Experience Lead Continuous Improvement in the factory

• Computer Science, Computer Engineering, Mechatronics, Industrial Automation

• Above 5-8 years in Digital Transformation & Process Automations

• Analytics Development & Deployment

• Artificial Intelligence & Generative Artificial Intelligence

• Web Application Development & Database Management

• Robotic Process Automation, Business Intelligence

• Enterprise Resource Planning (ERP) & Manufacturing Execution System (MES)

• Bachelor's degree in engineering, Data Science, Computer Science, or a related field; master's degree preferred.

• Proven experience (5+ years) in digital transformation, data analytics, or a related role within manufacturing or industrial operations.

• Strong understanding of manufacturing processes and operational excellence methodologies (Lean, Six Sigma, etc.).

• Proficiency in data analytics tools (e.g., Tableau, Power BI, Python, R) and enterprise software solutions (e.g., ERP, MES).

• Knowledge of Programming language (C#, javascript, angular, etc)

• Knowledge of Programming platform (LEAP, .Net, Ecostruxure, etc)

• Knowledge of database (Ms.SQL Server, mySQL)

• Knowledge on RPA and Tableau Dashboard

• Able to make Business Intelligence Dashboard

• Knowledge on Industrial/manufacturing Operation

• Digital Learner and high digital literacy

• Excellent problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.

• Strong leadership and project management skills, with a track record of successfully leading cross-functional teams.

Schedule: Full-time
Req: 0098YH