Titan - Analyst - Category & Inventory Analytics (3-5 yrs)

Job Requirements:

Category & Inventory Analytics:

- Analyse product and category performance looking at sales trends, sell-through rates, ageing stock, and inventory value.

- Identify slow-moving products and recommend practical actions such as range rationalisation, stock reallocation, or clearance.

- Track the impact of festivals, seasons, and promotions on sales and margins.

- Support demand planning and forecasting to ensure the right products are available at the right time.

- Help translate sales targets into store-level plans based on category potential.

- Analyse pricing effectiveness and model discount and offer strategies balancing customer appeal with margin protection.

- Benchmark pricing and promotional practices against competitors to stay market relevant.

- Review commercial arrangements with franchise partners and identify cost optimisation opportunities.

- Track margin flow across the value chain from sourcing to store and flag areas for improvement.

Customer Insights:

- Use data to understand who our customers are, what they buy, what they buy together, and what encourages them to purchase.

- Segment customers based on their preferences, spending patterns, and response to offers.

- Combine customer, product, geography, and time data to generate insights that feed directly into business decisions on retention, assortment, and promotions.

Dashboards, Reporting & Digital Initiatives:

- Build and maintain dashboards that give teams a clear, up-to-date view of category performance, inventory health, and key business metrics.

- Support the business in moving to newer, more efficient reporting systems tracking adoption and measuring impact.

- Take on ad-hoc analysis projects as and when the business needs fresh perspectives on emerging trends or risks.

Work Experience:

Education:

- Master's degree in Business, Analytics, Statistics, Finance, or a related field.

Experience:

- 3-5 years of hands-on experience in category or retail analytics.

- Prior experience in jewellery, fashion, or luxury retail is an advantage.

What You Bring:

- Strong, working proficiency in SQL for data extraction and analysis.

- Advanced Excel skills pivot tables, complex formulas, macros, and Power Query.

- Experience with reporting tools such as Power BI or Tableau is preferred.

- Familiarity with ERP or point-of-sale systems is a plus.

- Able to simplify complex data into clear, actionable business insights.

- Organized, thorough, and comfortable managing multiple priorities at once.

- Confident presenting findings to both analytical and non-technical audiences.