Job Title: Digital & Analytics Leader - Manufacturing Operations
Location: Bangpu Industrial Estate, Samutprakarn
Company: Schneider Electric
Position Overview:
We are seeking a highly skilled and motivated Digital & Analytics Leader to drive our digital transformation initiatives and enhance our manufacturing operations through data-driven decision-making. This role will be pivotal in leveraging analytics to optimize processes, improve productivity, and support strategic objectives across the organization.

Key Responsibilities
  • Scope of responsibilities: STL plant , and as the part of Domain Leader need to support another site partially.
  • As Digital Transformation representative to drive all digital development and deployment across factory and comply with Schneider Cybersecurity policy and Schneider Digital development standard.
  • As digital & analytics representative to define the governance and support analytics deployment on the factory site and support in term of analytics competency development.
  • Fulfill MMR (Minimum Mandatory Requirement) Smart Factory to get Advanced Certification
  • Reduce Non-Value Added (NVA) process for organization through digital development and enhance existing process for each department.
  • Improve Energy Management to be more advance through advanced Analytics.
  • Improve Assets Performance Management to be more advance through advanced Analytics.
  • Develop Digital Best Practices as part of Continuous Improvement and Actively share in Analytics Community and share best practices to other sites.
  • Deploy digital analytics solution on data operation to strengthen collaboration across East Asia
  • 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.

Primary Location: TH-11-Samut Prakan

Schedule: Full-time
Unposting Date: Ongoing
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Schneider Electric is the global specialist in energy management and automation. With revenues of ~₮24.7 billion in FY 2016, our 144,000 employees serve customers in over 100 countries, helping them to manage their energy and process in ways that are safe, reliable, efficient and sustainable ...

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