Job Description: Retail and Sales > Merchandising > Merchandising Analytics Manager
Position Summary:
The Merchandising Analytics Manager plays a crucial role in the retail and sales department, responsible for driving data-driven decision-making processes across merchandising operations. This role requires a strong analytical mindset and a deep understanding of the retail industry to optimize merchandising strategies, enhance product assortment, and maximize sales performance. The Merchandising Analytics Manager collaborates closely with cross-functional teams to deliver actionable insights that drive business growth.
Key Responsibilities:
1. Utilize advanced analytics techniques to analyze merchandising data and provide actionable insights to improve product assortment, pricing, and promotional strategies.
2. Develop and maintain statistical models to forecast sales, inventory levels, and demand patterns to optimize inventory management and reduce stock-outs.
3. Provide guidance on pricing strategies by conducting thorough market analysis, competitor benchmarking, and monitoring price elasticity.
4. Collaborate with the merchandising team to identify opportunities and gaps in product assortment, ensuring alignment with customer preferences and market trends.
5. Design and implement A/B testing experiments to evaluate the impact of merchandising strategies on sales and customer behavior.
6. Create and deliver regular reports and presentations to stakeholders, summarizing key findings, trends, and recommendations derived from data analysis.
7. Collaborate with cross-functional teams, including marketing, finance, and operations, to align merchandising strategies with broader business objectives.
8. Stay updated on industry trends, emerging technologies, and best practices in merchandising analytics to drive continuous improvement and innovation.
Required Skills and Qualifications:
1. Bachelor's degree in Business, Statistics, Economics, or a related field. Advanced degree preferred.
2. Proven experience in a similar role, preferably within the retail industry, with a strong focus on merchandising analytics.
3. Proficiency in statistical analysis, data mining, and predictive modeling techniques.
4. Expertise in using analytics tools such as SQL, R, Python, or similar software for data manipulation and analysis.
5. Strong understanding of retail merchandising principles, including product assortment, pricing, and promotion strategies.
6. Excellent problem-solving skills with the ability to translate complex data into actionable insights.
7. Strong business acumen and ability to effectively communicate analytical findings to non-technical stakeholders.
8. Ability to work collaboratively in a cross-functional team environment and manage multiple projects simultaneously.
9. Detail-oriented with strong organizational and time management skills.
10. Proactive mindset with a passion for driving data-driven decision-making processes and continuous improvement.
Note: This job description outlines the general nature and level of work performed by individuals assigned to this position. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required.