Data Analyst at Gatimo Apparel

Responsibilities

• Responsible for Maintaining data in various merchandising systems
• Accountable for reviewing stock-to-sale ratio for assigned categories.
• Accountable for coordinating merchandise flow-through from warehouse to respective stores.
• Responsible for analyzing performance reports for assigned categories.
• Assist in executing business cycle & product cycle commercial campaigns
• Accountable for product transfers and recalls.
• Responsible for tracking must-have assortment for assigned categories

Supplier Management and Negotiation:

• Identify and establish relationships with new suppliers, negotiating favorable terms and conditions to maximize profitability.
• Regularly assess supplier performance based on quality, reliability, pricing, and delivery timelines.
• Analyze supplier data and trends to identify cost-saving opportunities and improve overall supply chain efficiency.

Inventory Management:

• Utilize data analytics to forecast demand, optimize inventory levels, and minimize stockouts or excess inventory.
• Collaborate with the Inventory Planning team to ensure accurate inventory replenishment, timely markdowns, and effective inventory turnover.
• Analyze historical sales data to identify slow-moving products and implement strategies to mitigate stock-related risks.

Pricing and Promotions:

• Analyze pricing strategies and competitor pricing data to determine optimal pricing for different product categories.

Requirements

• Bachelor's Degree in Business Administration, or a related field.
• 5 - 7 years work experience.
• Proven experience as a Data analyst focusing on data analytics using EXCEL, and PIVOT.
• Strong analytical skills and proficiency in data analysis tools and techniques.
• In-depth knowledge of fashion trends, consumer behavior, and the retail industry.
• Excellent negotiation, communication, and interpersonal skills.
• Ability to work in a fast-paced environment, prioritize tasks, and meet deadlines-proficiency in using inventory management systems and Microsoft Excel.
• By combining your fashion expertise with data analytics knowledge, you will contribute to the company's success in staying ahead of industry trends, meeting customer expectations, and driving revenue growth.