Assistant Manager - Data Analytics (Retail / Fashion

Assistant Manager - Data Analytics (Retail / Fashion)
Job Description

1. Role Objective

Drive data backed decision making across retail, merchandising, and planning to improve sell through, stock utilization, store productivity, and demand forecasting. Act as the bridge between data and business execution.

2. Key Responsibilities

A. Retail Performance Analytics

· Analyze store wise performance including sales, conversion, ASP, UPT, and category contribution

· Identify high performing and underperforming stores and growth opportunities

· Build store rating models and performance benchmarks

B. Product and Category Analysis

· Analyze category, sub category, color, and size contribution

· Identify fast sellers, slow movers, and dead stock

· Provide inputs to buying and design teams

C. Demand Forecasting

· Build and maintain forecasting models using historical sales and seasonality

· Forecast at store, category, and SKU levels

· Continuously improve forecast accuracy

D. Replenishment and Inventory Planning

· Monitor stock cover, safety stock, and sell through

· Trigger replenishment and stock transfers

· Support warehouse planning and allocation logic

E. Business Planning Support

· Assist in annual business planning and season planning

· Convert business targets into store and category level plans

F. Dashboard and Reporting

· Build and maintain dashboards using Power BI or similar tools

· Generate daily and weekly reports on sales and stock health

· Automate reporting processes

G. Insights and Recommendations

· Provide actionable insights, not just reports

· Recommend actions to improve sales and inventory performance

3. Required Skills

Technical Skills

· Advanced Excel

· Power BI or similar tools

· Basic knowledge of Python or SQL preferred

Business Understanding

· Retail KPIs

· Fashion product lifecycle

· Inventory management

Analytical Skills

· Strong problem solving ability

· Ability to connect data with business decisions

· Attention to detail

4. Experience

· 3 to 6 years in retail analytics, merchandising analytics, or inventory planning roles

· Fashion or retail background preferred

5. Key KPIs

· Forecast accuracy

· Inventory turns

· Sell through improvement

· Reduction in dead stock

· Store performance improvement

6. Reporting Structure

· Reports to Business Head or Founder

· Works closely with Buying, Merchandising, and Store Operations teams

7. What Success Looks Like (3 to 6 months)

· Clear visibility on business performance

· Strong dashboards implemented

· Improved replenishment decisions

· Reduced stock imbalance

· Better store level planning

Job Types: Full-time, Permanent

Pay: ₹50,000.00 - ₹60,000.00 per month

Ability to commute/relocate:

Thaltej, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)
Experience:

Fashion retail: 6 years (Required)
Data analytics: 6 years (Required)
Power BI: 6 years (Required)
Microsoft Excel: 6 years (Required)
Python: 6 years (Required)
SQL: 6 years (Required)
Retail KPI: 6 years (Required)
Work Location: In person