Data Analytics Intern – Maintenance Division (Frontend & Infrastructure)

Location
D16 Upper East Coast, Bedok, Eastwood, Kew Drive
Job Type
Full-time
Experience
Mid
Category
General
Salary
$800 - $1,600
Posted
1 week ago
Expires
Mar 6, 2026
Views
1

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

Job Description & Requirements

Role Summary

We are looking for a motivated Data Analytics Intern to support our Maintenance Division with frontend tools and infrastructure management. You will gain hands-on experience turning maintenance and IoT data into actionable insights, building user-friendly dashboards, and supporting the underlying infrastructure that powers our operational systems.

Key Responsibilities

  • Collect, clean, and analyze maintenance and IoT device data.
  • Develop and enhance frontend dashboards to visualize key maintenance metrics.
  • Assist in managing and monitoring infrastructure that supports data collection and reporting.
  • Document analytics processes, frontend workflows, and infrastructure procedures.
  • Collaborate with cross-functional teams to support decision-making and improve maintenance operations.

Requirements 

  • Pursuing a degree in Data Science, Computer Science, IT, or a related field.
  • Basic knowledge of data analysis tools (Python, R, SQL, Excel) and frontend technologies (HTML, CSS, JavaScript, React, or similar).
  • Interest in infrastructure, networks, or IoT device management is a plus.
  • Strong analytical, problem-solving, and documentation skills.
  • Ability to work independently and in a team environment.
  • Preference for candidates with 2–3 years of relevant internship or work experience in data analytics, frontend development, or infrastructure management.

What You’ll Achieve

  • Hands-on experience with real-world maintenance and IoT data.
  • Exposure to frontend dashboard development for operational tools.
  • Understanding of infrastructure management and its role in supporting maintenance operations.
  • Develop skills in data visualization, reporting, and cross-team collaboration.


Internship Period: Apr to Sep 2026 (6 Months)

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