Industrial Logistics Data Analytics Intern

SCHNEIDER ELECTRIC SINGAPORE PTE LTD

Singapore

On-site

SGD 12,000 - 20,000

Full time

44 hours ago
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Benefits offered by this job

Real-world experience
Mentorship
Diverse exposure
Collaborative environment
Clear career paths

Job summary

Schneider Electric Singapore Pte Ltd is offering an internship in logistics and supply chain analytics. The role focuses on warehousing performance analysis across inbound and outbound processes and contributing to digital transformation of Hub Asia through data-driven solutions.

As part of the Logistics Engineering team, you will support standardization, audits, and CI initiatives while developing skills in data analytics and automation tools.

Qualifications

  • Pursuing a Bachelor’s degree in Data Analytics or related field.
  • Knowledge of data analytics and visualization tools; exposure to Tableau, Power BI, Python, SQL, Java, or UiPath is an advantage.
  • Willingness to learn, adapt to new technologies, and collaborate across teams.

Responsibilities

  • Support deployment and standardization of warehousing processes per SPS requirements.
  • Coordinate audits and process reviews; drive continuous improvement with stakeholders.
  • Assist Smart DC initiatives and tracking systems to monitor progress.
  • Analyze operational performance and contribute to CI initiatives for efficiency.
  • Lead a sustainability or improvement project with defined objectives and benefits.

Skills

Data analytics
Power BI
Python
SQL
Communication

Education

Bachelor’s degree in Data Analytics

Tools

Tableau
UiPath
Microsoft Excel

Job description

Schneider Electric Singapore Pte Ltd is offering an internship in logistics and supply chain analytics. The role focuses on warehousing performance analysis across inbound and outbound processes and contributing to digital transformation of Hub Asia through data-driven solutions.

As part of the Logistics Engineering team, you will support standardization, audits, and CI initiatives while developing skills in data analytics and automation tools.

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