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Salary
≈ $5.5k – $10k per year (Estimated)
Location
In office (Colombo)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026. MAS Holdings scores B on the Alion truth index.

Overview
Company
Impact
Profile match
MAS Holdings is a Sri Lankan apparel and textile manufacturing group headquartered in Colombo that designs and makes intimate wear, swimwear, sportswear, athleisure and performance apparel for global brands. Started by three brothers, it is Sri Lanka's largest apparel exporter, with a workforce of around 100,000 in 13 countries, joint ventures such as the Speedo swimwear maker Linea Aqua, and clients including Victoria's Secret, Calvin Klein, Marks and Spencer and Speedo. It recruits merchandisers, industrial and mechanical engineers, product development and innovation staff, financial analysts, employee relations executives and many interns in planning, sourcing, design and HR.

Intern - Data Science & Analytics

(Based at Malabe)

MAS is Sri Lanka’s largest exporter and South Asia’s largest design-to-delivery solution providers in apparel and textile manufacturing. With a global community of 100,000, today, MAS spans across 13 countries with its portfolio expanding into wearable technology, FemTech, logistics and fabric parks worldwide. Over three decades, MAS has gained global recognition for its ethical and sustainable working environment as well as its impeccable craftsmanship and product excellence.

Key Responsibilities

  • Creating dashboards on Power BI to visualize project related data
  • Conduct detailed analysis for data for One GSD Project
  • Provide updates and reports as required by the management

Qualifications, Experience, Skill, and Competencies:

  • Graduate or Undergraduate in Computer Science, Data Analytics, Statistics and Business Management.
  • Good Knowledge in Data Analytical Side
  • Good Knowledge in Power Bi Dashboards, Power apps,
  • Power point, Excel and Macros
  • Creativity for creating power BI Dashboards
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