Associate - Category Management
Myntra
Skills
- Category Management
- Brand Management
- SQL
- Python
- Data Analysis
- Go-to-Market Strategy
- Consumer Insights
- Pricing Strategy
- Inventory Management
About the role
Associate Category Manager - International Brands
The Role
We are looking for an Associate Category Manager - International Brands to drive the growth of a portfolio of international brands on Myntra. This is a high-ownership, data-led role for someone who combines strong commercial thinking with a passion for fashion, consumer experience and digital commerce.
What You’ll Do
1. Drive Brand & Category Growth
- Drive topline and profitable growth for a portfolio of international and strategic brands, with ownership of key business metrics and growth levers.
- Develop and execute initiatives to accelerate brand growth across assortment, pricing, promotions, inventory, visibility and customer acquisition.
- Track and improve funnel metrics across discovery, traffic, engagement, conversion and repeat purchase.
- Partner with demand and marketing teams to build impactful in-app and off-app visibility for priority brands.
2. Identify New Growth Opportunities
- Dive deep into category, consumer and brand-level data to identify white spaces, emerging trends and opportunities for new brand/category expansion.
- Translate data and consumer insights into actionable business plans, ranging from assortment expansion to new category launches and GTM initiatives.
3. Work Cross-Functionally
- Collaborate closely with Demand, Planning, Marketing, Creative, Product, Catalog, Analytics and Operations/Import teams to deliver business outcomes.
- Build strong relationships with brand partners and align them on growth priorities, execution and performance.
4. What We’re Looking For
- 2-4 years of experience in e-commerce, category management, brand management, retail or a related commercial role.
- Strong commercial acumen with an ability to connect business performance, customer behaviour and growth levers.
- Highly analytical and comfortable diving deep into large datasets to identify insights and opportunities.
- Hands-on SQL skills with the ability to independently extract, analyse and interpret data. Python is preferred.
- Ability to operate in a fast-paced environment, manage ambiguity and take end-to-end ownership of initiatives.
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