- Gather, clean, and analyze diverse data sets including sales records, market reports, and customer feedback.
- Conduct thorough market research to identify trends, consumer behavior patterns, and competitor activities.
- Utilize statistical models and historical data to forecast demand for products/categories.
- Collaborate with the buying team to assist in assortment planning based on data-driven insights.
- Evaluate supplier performance metrics, analyze delivery times, and assess quality standards.
- Monitor inventory levels, turnover rates, and sell-through to optimize stock levels efficiently.
- Develop and maintain reporting dashboards to visualize key metrics and trends.
- Prepare regular reports summarizing sales performance, inventory status, and market trends.
- Provide actionable insights and recommendations derived from data analysis to improve buying strategies, pricing, product assortment and inventory distribution.
- Assist in the development of merchandising strategies aligned with data-driven insights.
- Collaborate with cross-functional teams including buyers, assistant buyers, marketing, and sales to align strategies and goals.
- Effectively present data-driven insights to stakeholders through reports and presentations.
- You will be joining a new team called the merchandising department .
- The role is new to the business and will need and experienced person.
- You will be responsible for analyzing trends in number of product categories, product sales behaviour, supplier performance, store-specific performance and customer buying behaviour.
- You have to enjoy numbers and visualising trends in a very simplified manner.
- One of your first tasks will include designing and creating a company specific Order Management System and Demand Forecasting System
- Bachelor's degree in Business, Economics, Statistics, or related field. Advanced degree preferred.
- 4 years of proven experience in a data analysis role, preferably in retail or merchandising.
- Proficiency in data analysis tools e.g., Excel, SQL, Python, Tableau and statistical methodologies.
- Strong analytical mindset with the ability to interpret complex data sets and trends.
- Excellent communication skills to convey insights effectively to diverse stakeholders.
- Strong analytical skills
- Excellent communication and interpersonal skills.
- Ability to build strong relationships and collaborate effectively with cross-functional teams.
- Strong problem-solving and decision-making skills.
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Data Analyst - Abuja, Nigeria - The People Practice
Description
Our client, a premium retail gifting business is looking to hire a highly motivated and detail-oriented Buyer Data Analyst to join our merchandising team. The ideal candidate will possess strong analytical skills, a deep understanding of retail data, and the ability to translate insights into actionable strategies.
Responsibilities
Data Collection and Analysis:
Demand Forecasting and Assortment Planning:
Supplier Evaluation and Inventory Optimization:
Reporting and Visualization:
Insights and Strategy Development:
Collaboration and Communication:
What does the role mean in simple terms?
Qualifications
Must have skills