Associate - Category Management

About Team

The Women's Ethnic Wear category is one of the focused categories of the platform which is poised for tremendous growth
in terms of business and team structure. The team requires an Associate who will be a good fit to the team and
instrumental in driving the business for Women's Ethnic Wear.

Role:

 Work closely with Category Manager to drive the business in the relevant category with focus on growth
and increasing the market share.
 Manage relationships with brand partners & establish Myntra as the preferred destination for customers
as well as brand partners.
 The goal is to increase sales and profitability of business to drive sustainable growth.

Responsibilities:

 Actively pursue vendor management, pricing, inventory management and sale optimization for a
particular group of brands.
 Scaling the brands on the platform with continuous work across selection, catalogue, marketing etc.
 Intake / OTB management - Monitor inventory situation & plan inwards based on the DOH plan & plan
timely RTVs.
 Selection – making season level buy plans / assortment plans, based on past performance & growth /
revenue targets to ensure that the category is well represented.
 Review style level performance based on metrics such as ROS, Sell thru, RPI, RGM.
 Category visibility planning & interventions – planning banners for respective brands and raising banner
requests on time.
 Getting involved with commercial closures to work towards a P&L view of the business and the category.
 Build and maintain long-term relationships with vendors.
 Liaise with pricing and marketing teams to determine competitive pricing and promotional activities.
 Stay updated on industry trends and market competitions in Ethnic wear profile.

Qualifications & Experience

 Business management from a reputed B school.
 The ideal candidate should have an experience of 2-4 years and can independently handle a group of
categories. The candidate needs to have a relevant experience in the Apparel business.
 Hands on experience with analyzing data and making forecasts.
 Analytical and critical thinker.
 Excellent communication, presentation, and interpersonal skills.