Intern – Planning
(Based at Activewear - Nawala)
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 Activewear as an Intern – Planning 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
Collaborate with relevant teams to gather necessary specifications and assess manufacturing feasibility.
Schedule and attend merchandising and production meetings with key stakeholders to identify potential issues and develop effective solutions.
Assist in resolving production performance anomalies, such as delays or advancements, as well as raw material flow disruptions.
- Ensure all planning information is meticulously maintained in current systems (e.g., Planning Tool and SAP). Regularly update, analyze, and review key reports to support efficient production operations and informed management decision-making.
KEY REQUIREMENTS
Fresh Graduates or Final year Undergraduates in / Statistics/ Computer Science/ Finance and Data Science background.
Basic proficiency in Excel, PowerBI with the ability to manage and analyze data efficiently.
Excellent communication skills, both written and verbal, for effective collaboration.
- Strong analytical skills with the ability to assess data and provide insights
