Intern - Local Operations

Intern – Local Operations 

(Based at MAS Linea Intimo - Biyagama)

The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance segments. With a strong focus on innovation, MAS is advancing wearable technology that tracks fitness and workout analytics while blending advanced sportswear with fashion and aesthetic appeal. Operating across Sri Lanka, Jordan and Indonesia, and with development centres in Sri Lanka and Canada, Activewear serves a global customer base that includes Nike, lululemon, Patagonia, Ralph Lauren and Gymshark. The Activewear product range offers diverse solutions such as Knit, Fleece, Tees, Woven, Sweaters, Engineered Knit. As a unified platform, the Activewear Value Stream combines global scale, speed and technical expertise, positioning MAS as a trusted partner for innovative, performance and lifestyle apparel.

Embark on a journey of change with MAS, by joining MAS Linea Intimo as an Intern – Local Operations based at Biyagama. This will be a great opportunity to further your subject knowledge and gain hands-on experience while accelerating your personal development.

KEY RESPONSIBILITIES

1. Support Corporate/Local Operations team with analysis of plant performance - Operational KPIs, etc.

2. Support the business by conducting weekly stock meetings, coordinating with multiple stakeholders across functions

3. Support in SAP [ERP system] related activities - recording, reporting, analysis and follow up

4. Prepare daily reports on fabric mill WIP, FTT, other operational KPIs, etc. based on SAP data

5. Follow-up and monitor progress of other special projects assigned

KEY REQUIREMENTS 

• Undergraduates in Data Science, Business with IT, Business Management, or a related field.
• Advanced proficiency in Excel, PowerPoint, Power BI, and other Microsoft tools
• Knowledge on SAP (ERP System) would be an added advantage.
• Effectively interpret, analyze, and apply data to support the team with informed decisions.
• Excellent communication skills in English, both written and verbal, for effective collaboration.