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The Souled Store Pvt. Ltd. in Mumbai is seeking a data-driven Category Analyst to lead assortment planning for offline stores. You will manage category-level assortments, optimize inventory, and collaborate with buying, VM, and marketing to drive performance.
Ideal candidates have 1–3 years in category management or retail planning, strong data analysis, and good communication. This on-site role offers a growth-focused environment with exposure to fashion and lifestyle brands.
The Souled Store is a homegrown youth casual-wear brand started in 2013. We are one of India’s largest online merchandising platforms with licenses like Disney, Warner Bros; WWE, IPL, Viacom18 to name a few. Apart from selling products with themed designs such as superheroes, movies, TV shows, and cartoons, the brand also is at the forefront of the latest youth style and fashion trends. In addition to core men and women wear apparel categories, we have also expanded to new categories and introduced new product lines like activewear, supima products, innerwear, personal care products like perfumes etc. We have also launched footwear and kidswear recently. Although we are primarily an online brand, we’ve expanded in the offline retail space as well and have stores pan India. The Souled Store was born out of the idea of loving what you do, from the soul. We believe that people do their best work when they love what they do. There are too many Monday mornings and you can’t go dreading every single one of them. Over the years, we have built a strong team of like- minded people that work smart, own their work, and think like leaders. If you identify with what we do and are interested in being a part of an aggressively growing brand, we would love to have you on Board!
We are looking for a data-driven and trend-aware individual to join our growing Category team. In this role, you will be responsible for planning and managing category-level assortments for offline retail, using a strong understanding of retail metrics, consumer trends, and sales data. You will work closely with the buying, VM, and marketing teams to drive product performance, optimize inventory, and ensure efficient in-store execution.