Business Analytics Intern

Singapore GasCo

Singapore

On-site

SGD 13,000 - 20,000

Full time

5 days ago
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Job summary

Singapore GasCo in Singapore is offering an internship in the Operations division to support business planning, risk analysis and data engineering initiatives. You will gain hands-on experience with analytics, BI dashboards, and cross-functional collaboration in a dynamic corporate environment.

The role involves creating interactive reports with Power BI and Power Automate, cleaning and analyzing datasets, and assisting in Azure/Databricks data pipelines.

Qualifications

  • Pursuing an undergraduate degree in business, economics, finance, science or engineering.
  • Analytical, diligent and detail-oriented with strong numerical skills.
  • Proficient in Excel, PowerPoint and data analysis/visualisation tools.

Responsibilities

  • Assist in developing dashboards and reports using Power BI and Power Automate.
  • Clean, transform and analyse datasets to generate planning insights.
  • Support automated reporting and monitoring of operational metrics.
  • Coordinate project activities and stakeholder communications.

Skills

Power BI
Power Automate
Excel
Data analysis
Python
Tableau
Data visualization

Education

Undergraduate degree in Business / Economics / Finance / Science / Engineering

Tools

Databricks
Azure

Job description

GasCo is Singapore's trusted energy enabler, committed to ensuring a secure, stable, and competitively priced gas supply to meet the nation's electricity needs. Established under the Energy Market Authority's initiative to centralise gas procurement, GasCo plays a vital role in safeguarding national energy security and supporting Singapore's economic continuity.

We are looking for motivated interns to join our growing Operations division.

Role Overview

The role will support the Business Planning, Risk, and Technology team in strategic planning, data analytics, and business intelligence initiatives within a dynamic corporate environment. This internship offers hands‑on experience and exposure to the Operations division within GasCo.

Role Responsibilities
  • Assist in developing interactive and engaging dashboards and reports using tools such as Power BI and Power Automate to enhance operational visibility
  • Assist in cleaning, transforming, and analysing datasets to generate insights for business planning
  • Support the development of automated reporting and monitoring tools for key operational metrics (e.g., KPI, data checks, etc.)
Business Planning, Risk Analysis & Reporting
  • Assist in preparing operational reports, analytical summaries, and performance trackers
  • Support the maintenance and update of risk assessments for internal reporting
  • Prepare presentation materials and maintain Excel models used for planning and analysis
Project Management & Process Optimisation
  • Assist in coordinating project activities, tracking milestones, and maintaining documentation
  • Support communication and coordination with stakeholders across ETRM and data-related initiatives
  • Participate in reviewing workflows and identifying opportunities to improve operational processes
Technology & Data Engineering Support
  • Support data preparation, validation, quality checks, and integration across internal datasets
  • Assist in Azure- and Databricks-related tasks for data pipelines and storage workflows
  • Help investigate and troubleshoot data issues while contributing to improvements in existing ETL processes
Role Requirements
  • Currently pursuing an undergraduate degree in Business, Economics, Finance, Science, Engineering, or a related discipline
  • Analytical, diligent, and detail-oriented, with strong numerical skills
  • Proficient in Excel, PowerPoint, and data analysis or visualisation tools such as Power BI, Tableau, or Python
  • Basic understanding of data engineering concepts or cloud platforms (e.g., Databricks, Azure) is an advantage
  • Good communication skills and the ability to work effectively with cross-functional teams
  • Proactive attitude with the ability to learn quickly in a dynamic environment
  • Available for a full-time (5-days/week) internship commitment
  • Able to commit from January to June 2027
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