Associate - Category Analyst

About Us :

The Souled Store is a homegrown youth casual-wear brand founded in 2013. Today, we are one of India's largest online merchandising platforms, with licensing partnerships including Disney, Warner Bros., WWE, IPL and Viacom18 among others.

We create products inspired by pop culture - superheroes, movies, TV shows cartoonswhile also staying deeply rooted in evolving youth fashion and lifestyle trends. Alongside our core men's and women's apparel categories, we are actively expanding into new product lines such as activewear, Supima products, personal care (perfumes), footwear and backpacks.

While we began as a digital-first brand, we have steadily expanded into offline retail and currently operate 60+ stores across India, with further pan-India expansion underway.

The Souled Store was built on a simple belief: people do their best work when they love what they do. We believe work should be driven by ownership, curiosity, and leadership at every level - not just by titles. Over the years, we've built a team of like-minded individuals who work smart, take accountability, and grow with the business.

If you resonate with our culture and want to be part of an aggressively scaling, consumer-first brand, we'd love to have you join us.

Position Overview:

The Associate Category Analyst will play a vital role in supporting the retail planning and

merchandising function through data-driven insights across sales, inventory, assortment,

pricing and customer behavior. You will analyze key performance metrics to identify trends

and opportunities, ensuring each category achieves optimal sell-through, margin and stock

health. By delivering actionable recommendations, you will help drive informed business

decisions and contribute to the overall success of the retail strategy.

Key Responsibilities:

Create and maintain automated dashboards and reports.

Provide insights on sales, margin, ROS, sell-through and stock turns.

Support category and planning teams with data-driven allocation and reordering

recommendations.

Analyze trends, seasonality and regional performance to improve forecasting.

Identify top and underperforming products and key performance drivers.

Automate reporting workflows and optimize SQL/Python pipelines.

Qualifications:

02 years of experience in data analytics, preferably in fashion retail with strong

knowledge of product lifecycle, inventory metrics, pricing and customer insights.

Proficient in MySQL (complex queries, joins, window functions) and skilled in Python

(Pandas, automation scripts, statsmodels/scikit-learn).

Advanced Excel/Google Sheets user with experience in creating dynamic dashboards;

familiar with Power BI, Tableau or Looker Studio.

Solid foundation in statistics, including descriptive analytics, A/B testing and

forecasting models.

Strong problem-solving, data storytelling, and cross-functional collaboration skills.