Bewakoof.com - Senior Manager/Associate Director - Category Growth & Analytics

Description:

About Us:

Bewakoof is one of Indias leading D2C fashion brands, known for its bold, quirky, and youth-first approach to apparel and lifestyle products. Built for the digitally native generation, Bewakoof has created a strong identity through pop culture, streetwear aesthetics, and trend-driven merchandise.

Now a part of Aditya Birla Fashion & Retail Limited (ABFRL), Bewakoof is on an aggressive growth journey, expanding across categories and strengthening its offline retail presence across India.

At Bewakoof, we believe in ownership, speed, and creativity. Were building a team that thrives on experimentation, data-driven decisions, and pushing boundaries.

Position Overview:

The Senior Manager / Associate Director - Category Growth & Analytics will drive end-to-end category performance across sales, margins, assortment, and inventory, with a strong focus on scaling both online and offline business.

This role sits at the intersection of business strategy and analytics, enabling category growth through data-backed insights, demand planning, and cross-functional execution.

Key Responsibilities:

- Drive category performance across revenue, margins, and inventory efficiency

- Define and execute category growth strategies across pricing, assortment, and demand planning

- Analyze sales performance, customer behavior, and market trends to unlock growth opportunities

- Drive assortment planning and SKU optimization across D2C and retail channels

- Build and scale automated dashboards and reporting frameworks for real-time decision-making

- Lead inventory planning, allocation, and replenishment strategies to ensure optimal stock health

- Identify top-performing, slow-moving, and non-performing SKUs, and drive corrective actions

- Collaborate with merchandising, sourcing, marketing, and retail teams for category optimization

- Drive experimentation (pricing, promotions, A/B testing) to maximize conversion and profitability

- Leverage SQL/Python-based analytics and automation to improve efficiency and scalability

- Lead and mentor a team, building a high-impact analytics and planning function

Qualifications:

- 4-6+ years of experience in category analytics, retail planning, or business analytics (preferably in D2C/fashion/e-commerce)

- Strong understanding of retail and e-commerce metrics (sell-through, ROS, GMROI, inventory turns, contribution margins)

- Advanced proficiency in SQL (complex queries, data handling) and Python (Pandas, automation, analytics)

- Experience with BI tools like Power BI, Tableau, or Looker

- Strong foundation in data analytics, forecasting, and statistical modeling

- Proven ability to translate data into actionable business insights

- Experience working in fast-paced, high-growth environments

- Strong stakeholder management and cross-functional collaboration skills