Intern – Planning
(Based at MAS Slimtex - Kuliyapitiya)
The Bodywear Value Stream of MAS Holdings delivers end-to-end design, innovation and manufacturing solutions across lingerie, swimwear and next-to-skin categories. It brings together broad expertise in fit, comfort, performance and aesthetics to serve leading global brands at scale. With design and innovation hubs in Sri Lanka, the USA, Canada and Hong Kong and manufacturing operations across Sri Lanka, Bangladesh, India, Vietnam, Indonesia and Kenya, Bodywear offers a diverse portfolio spanning bras, briefs, shapewear, sleepwear, performance bodywear and Olympic grade swimwear. The value stream portfolio includes Victoria’s Secret, Calvin Klein, Marks & Spencer, Triumph, Speedo and Aerie. Positioned as a global centre of excellence, the Bodywear Value Stream combines advanced product innovation, technology-led solutions and operational scale to meet evolving consumer expectations across intimate and swim categories.
Embark on a journey of change with MAS, by joining MAS Slimtex as an Intern – Planning based at Kuliyapitiya. 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
Undergraduates in / Statistics/ Physical Science/ Finance and Data Science background.
Basic proficiency in Excel, 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.
