Manufacturing Digitalization Assistant Intern

PT Siemens Indonesia (Jakarta, Jakarta, Indonesia)

DKI Jakarta, Indonesia

Siemens is a technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In addition, Siemens holds a minority stake in Siemens Energy, a global leader in the transmission and generation of electrical power.

About this position

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.

Responsibilities

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.

Requirements

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.