Intern - System Support

Intern – System Support

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 centers 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 Activewear as an Intern – System Support based at Nawala. This will be a great opportunity to further your subject knowledge and gain hands on experience while accelerating your personal development.

Key Responsibilities

• Identify business process gaps, manual activities, and reporting inefficiencies, and analyze opportunities for automation and improvement.
• Design and propose data driven solutions by developing advanced Excel reports and supporting Power Apps–based automation initiatives.
• Support project execution and provide additional operational, system, and analytical support as required by management.
• Develop automated and AI–driven solutions to support continuous improvement and process efficiency.

Key Requirements

• Undergraduates in Data Science, Business with IT, Business Management, or a related field.
• Advanced proficiency in Excel, Power Apps, Power BI, and other Microsoft tools
• Excellent reporting and presentation skills, with the ability to develop clear & insight–drivendashboards.
• Excellent communication skills in English, both written and verbal, for effective collaboration.
• Basic proficiency in Excel, with the ability to manage and analyze data efficiently.