Deskripsi pekerjaan
PT Lami Packaging Indonesia adalah produsen kemasan aseptik terkemuka yang menyediakan solusi pengemasan berkualitas tinggi untuk industri makanan dan minuman di lebih dari 50 negara. Dengan fasilitas manufaktur yang canggih, perusahaan terus berinovasi dalam teknologi pengemasan untuk mendukung pertumbuhan bisnis global. Sebagai Quality Engineer – Digital, Anda akan berkolaborasi dengan tim IT, Automation, dan MES/LIMS untuk membangun dan mengimplementasikan sistem digital di lingkungan manufaktur. Tanggung jawab Anda mencakup integrasi data dari berbagai sumber, desain model data warehouse, serta pemantauan kualitas data. Anda juga akan menggunakan alat analisis data untuk memberikan wawasan strategis guna perbaikan proses bisnis, melatih supervisor regional terkait sistem digital, serta memimpin optimasi sistem untuk meningkatkan efisiensi operasional.
Tanggung jawab: Collaborate with IT, Automation, and MES/LIMS teams for system construction and rollout, including requirements gathering and implementation.; Coordinate daily operations, maintenance, and user support for systems.; Extract, clean, and integrate data from multiple sources to create a unified digital database.; Design and optimize data warehouse models, establish governance policies, and ensure data consistency.; Establish a data quality monitoring indicator system, resolve issues, and maintain reliable data pipelines.; Utilize data analysis and visualization tools to identify business process improvements.; Provide actionable insights and recommendations for stakeholders, monitoring post-implementation performance.; Train regional quality supervisors on LIMS, MES, and loT systems.; Lead optimization of system issues and manage new project requirements.; Contribute to strategic planning for process and quality analytics.; Complete other assigned tasks and ensure timely closure of work items..
Kualifikasi: Bachelor's degree in Quality, Science, IT, Industrial Engineering, Mechanical Engineering, Chemical Engineering, or related field; Manufacturing experience, preferably in aseptic or flexible packaging; Data analysis experience in manufacturing operations; Familiarity with process mining tools (e.g., Celonis, UiPath Process Mining, Minitab) is advantageous; Proficient in data visualization tools for dashboard creation; Knowledge of programming for advanced analytics and automating data pipelines; Ability to create standard process diagrams linking data insights to processes; Familiarity with Continuous Improvement tools like lean manufacturing, Kaizen, and Six Sigma; Good cross functional communication and teamwork skills; Good office computer skills; Proficient in English for reading technical documents and communicating with suppliers; Willing to be placed in Cikande, Kabupaten Serang.
Tanggung jawab
- Collaborate with IT, Automation, and MES/LIMS teams for system construction and rollout, including requirements gathering and implementation.
- Coordinate daily operations, maintenance, and user support for systems.
- Extract, clean, and integrate data from multiple sources to create a unified digital database.
- Design and optimize data warehouse models, establish governance policies, and ensure data consistency.
- Establish a data quality monitoring indicator system, resolve issues, and maintain reliable data pipelines.
- Utilize data analysis and visualization tools to identify business process improvements.
- Provide actionable insights and recommendations for stakeholders, monitoring post-implementation performance.
- Train regional quality supervisors on LIMS, MES, and loT systems.
- Lead optimization of system issues and manage new project requirements.
- Contribute to strategic planning for process and quality analytics.
- Complete other assigned tasks and ensure timely closure of work items.
Kualifikasi
- Bachelor's degree in Quality, Science, IT, Industrial Engineering, Mechanical Engineering, Chemical Engineering, or related field
- Manufacturing experience, preferably in aseptic or flexible packaging
- Data analysis experience in manufacturing operations
- Familiarity with process mining tools (e.g., Celonis, UiPath Process Mining, Minitab) is advantageous
- Proficient in data visualization tools for dashboard creation
- Knowledge of programming for advanced analytics and automating data pipelines
- Ability to create standard process diagrams linking data insights to processes
- Familiarity with Continuous Improvement tools like lean manufacturing, Kaizen, and Six Sigma
- Good cross functional communication and teamwork skills
- Good office computer skills
- Proficient in English for reading technical documents and communicating with suppliers
- Willing to be placed in Cikande, Kabupaten Serang
Informasi lowongan
- Tipe pekerjaan
- Full-time
- Pendidikan
- S1
- Gaji
- Negosiasi