Manufacturing Digitalization Assistant Intern
PT Siemens Indonesia
Indonesia | DKI Jakarta
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Last updated 7 hours ago
PT Siemens Indonesia
Indonesia | DKI Jakarta
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Last updated 7 hours ago
Sea (Indonesia)
Indonesia | DKI Jakarta
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Last updated 11 hours ago
Ematic Solutions
Indonesia | DKI Jakarta
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Last updated 11 hours ago
Protelindo, PT
Indonesia | DKI Jakarta
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Last updated 13 hours ago
PT. Intikom Berlian Mustika
Indonesia | DKI Jakarta
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Last updated 4 days ago
PT. Intikom Berlian Mustika
Indonesia | DKI Jakarta
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Last updated 4 days ago
ParagonCorp
Indonesia | DKI Jakarta
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Last updated 2 weeks ago
PT SMART,Tbk
Indonesia | DKI Jakarta
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Last updated 3 weeks ago
Adira Finance
Indonesia | DKI Jakarta
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Last updated 3 weeks ago
Adira Finance
Indonesia | DKI Jakarta
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Last updated 3 weeks ago
Showing 1 to 10 of 11 results
You’ll create impact by:
• Assist in collecting and cleaning data from manufacturing processes and operations.
• Perform statistical analysis to identify trends, patterns, and opportunities for process improvement.
• Develop and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau.
• Collaborate with cross-functional teams, including engineers, quality assurance, and production, to provide actionable insights.
• Support the implementation of data-driven initiatives to optimize production efficiency, reduce waste, and improve product quality.
• Assist in the preparation of reports and presentations for management and stakeholders.
• Conduct root-cause analysis on manufacturing defects or inefficiencies based on data findings.
• Stay updated on the latest data analysis tools, techniques, and trends in manufacturing.
You’re excited to build on your existing expertise, including:
• Education: Currently pursuing a degree in Data Science, Statistics, Industrial Engineering, Manufacturing, or related fields.
• Proficiency in data analysis tools such as Excel, Power BI, or Tableau.
• Strong analytical and problem-solving skills.
• Basic knowledge of SQL or other data querying languages.
• Familiarity with statistical analysis and quality control methods in manufacturing.
• Excellent communication skills to present findings clearly and concisely.
• Ability to work in a fast-paced manufacturing environment.