Ruff ‘n’ Tumble is an indigenous premium brand for quality children’s clothing, shoes and accessories. The brand was founded by Adenike Ogunlesi in 1996 as a solution to the unavailability of quality kids’ clothing and to showcase the possibilities that abound in Nigeria. We are thought leaders in retail fashion and in the kids’ fashion space, creating well-tailored garments that are fun, on trend and colorful; giving children extreme confidence when worn.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos

Job Description

• Providing 360-degree data analysis which helps to formulate a strategic direction for key business cycle campaigns and product cycle campaigns.
• Plan and develop merchandising strategies that balance customers’ expectations and the company’s objectives.
• Analyze sales figures, customers reactions and market trends to anticipate product needs and plan product ranges/stock.
• Monitor stock movement and consider markdowns, promotions, price changes, clearouts etc.
• Contribute to company operations, such as costing, inventory control, planning, and budgeting.
• Oversee data maintenance for all categories in various merchandising systems.
• Manage overall review of stock to sale ratio across all categories.
• Supervise sales trends across all sale channels to execute strategic plans through planned sales, markdowns, etc.
• Direct the coordination of merchandise flow-through from warehouse to respective stores.
• Plan the exit strategy for aged and unsellable inventory.
• Schedule and perform routine store visits to ascertain assortment gaps.

Required Skills & Qualifications

• A First Degree from a reputable higher institution
• A minimum of 3 years experience in a similar role
• Strong Data Analytics Knowledge
• Knowledgeable in managing a wide product range
• Knowledgeable in fashion
• Knowledgeable in retail sales data analysis
• Strong oral & written communication skills
• Attention to details
• Effective and proven interpersonal skills
• Good planning and prioritizing skills.

Application Closing Date
28th February, 2022.