Retail Merchandising Data Analyst

TSP talent; Town of Waterford (WI); On-site; USD 42,000 - 60,000; Full time

Job summary

TSP talent is seeking a Retail Data Collector to gather and analyze critical sales floor data, aiding merchandising and supply chain optimization. You will collaborate with planogram analysts and merchandising teams to ensure accurate execution of retail solutions.

The role emphasizes precise data collection and delivering insights to support store performance and sales growth, working with internal teams to implement retail strategies.

Qualifications

• Attention to detail with strong analytical abilities.
• Strategic thinking and problem-solving skills.
• Effective communication and collaboration skills.
• Knowledge of retail operations, merchandising, and supply chain processes.

Responsibilities

• Collect and interpret retail data from the sales floor.
• Work closely with internal teams to ensure accurate implementation of retail strategies.
• Contribute to store performance improvements through data-driven insights.

Skills

Attention to detail

Analytical thinking

Strategic thinking

Communication & collaboration

Job description

Role:

Retail Data Collector

Responsibilities

• Gather and analyze critical sales floor data to optimize merchandising and supply chain operations.
• Collaborate with planogram analysts and merchandising teams to ensure accurate execution of retail solutions.
• Provide insights to enhance store performance and support sales growth.
• Maintain precision in data collection to support strategic retail initiatives.

Qualifications & Skills

• Attention to detail with strong analytical abilities.
• Strategic thinking and problem-solving skills.
• Effective communication and collaboration skills.
• Knowledge of retail operations, merchandising, and supply chain processes.

Key Duties

• Collect and interpret retail data from the sales floor.
• Work closely with internal teams to ensure accurate implementation of retail strategies.
• Contribute to store performance improvements through data-driven insights.