Beranda Loker Detail
B
Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Engineer - Data Analytics

B Braun
Bayan Lepas, Penang
Estimasi Gaji
MYR 8.000 – MYR 13.000
Live Update
16 Juni 2026
Batas Akhir
16 Jun 2027

Deskripsi Pekerjaan

Are you a data-driven professional looking to make a global impact? B Braun, a leader in medical technology, is seeking a Senior Engineer - Data Analytics to join our Business Performance and Smart Manufacturing team in Bayan Lepas, Penang.

In this role, you will be at the heart of our digital transformation journey. You will bridge the gap between complex manufacturing data and actionable business insights. By leveraging advanced analytics and industrial IoT, you will play a critical role in optimizing our production processes, enhancing operational efficiency, and supporting smart manufacturing initiatives. If you are passionate about data architecture, statistical modeling, and driving performance through innovation, this is the perfect opportunity to advance your career with a world-class organization.

Tanggung Jawab

  • Design and maintain scalable data pipelines to integrate data from diverse manufacturing systems and IoT sensors.
  • Develop advanced analytical models to monitor business performance and predict operational bottlenecks.
  • Collaborate with cross-functional teams to translate technical findings into clear, data-driven business strategies.
  • Implement data visualization dashboards using tools like Power BI or Tableau to provide real-time insights for stakeholders.
  • Lead continuous improvement projects aimed at increasing productivity and reducing waste through data-driven decisions.
  • Ensure high standards of data integrity, security, and governance across all manufacturing databases.
  • Mentor junior engineers and promote a culture of analytical excellence within the Smart Manufacturing team.

Kualifikasi

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  • Minimum 5+ years of experience in data engineering or advanced analytics, preferably within a manufacturing environment.
  • Proficiency in SQL, Python, or R for data manipulation and statistical analysis.
  • Strong experience with cloud data platforms (Azure, AWS, or GCP) and big data technologies.
  • Demonstrated expertise in building automated dashboards and reporting frameworks.
  • Excellent analytical, problem-solving, and communication skills to bridge technical and business requirements.
  • Experience with Industry 4.0 concepts and IoT integration is highly preferred.

Keahlian yang Dibutuhkan

Data Analytics Smart Manufacturing SQL Python Power BI Data Pipelines Industrial IoT Statistical Modeling Business Performance Data Governance

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