• Application Deadline: Mon, 17 Jul 2023 00:00:00 GMT
• Position: Data Analyst


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 5 - 7 years


• Location Lagos


• Job Field Data Science / Research 
  

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.