Service Planning & Data Analytics Intern

Schneider Electric

Singapore

On-site

SGD 20,000 - 27,000

Full time

14 days+

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Benefits offered by this job

Mentorship
Hands-on experience
Inclusive culture

Job summary

Schneider Electric in Singapore is offering an internship with the Service Planning and Order Management team. The role focuses on leveraging digital solutions to improve reporting, visibility into revenue and billing forecasts, and daily planning operations.

You'll collaborate with cross-functional stakeholders, maintain asset information with data stewards, and develop reporting solutions using SAP data. The internship starts in January 2027 as part of the H1 2027 cohort, with preference for

Qualifications

  • Bachelor's degree or diploma in business, analytics, or a related field.
  • Strong communication and stakeholder collaboration abilities.
  • Attention to detail with a focus on data quality.
  • Experience with data analytics, cleansing, and large datasets.

Responsibilities

  • Collaborate with stakeholders to gather and consolidate data for decision-making.
  • Maintain asset information per contractual requirements with data stewards.
  • Extract and transform SAP data to create actionable reports.
  • Develop and maintain reporting solutions with cross-functional teams.
  • Lead time reporting for service delivery timelines.

Skills

Data analytics
Communication skills
Attention to detail
Data cleansing

Education

Bachelor's Degree or Diploma in Business Administration, Data Analytics, or a related field

Tools

SAP

Job description

Schneider Electric in Singapore is offering an internship with the Service Planning and Order Management team. The role focuses on leveraging digital solutions to improve reporting, visibility into revenue and billing forecasts, and daily planning operations.

You'll collaborate with cross-functional stakeholders, maintain asset information with data stewards, and develop reporting solutions using SAP data. The internship starts in January 2027 as part of the H1 2027 cohort, with preference for

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