Multi-Category Merchandise Planner | Data-Driven Growth

QVC; West Chester (Chester County); Hybrid; USD 70,000 - 100,000; Full time

Job summary

QVC Group in West Chester, PA is seeking a Merchandise Planner to transform sales and manage inventory across Culinary, Accessories, & Home Innovations. The role is hybrid, onsite several days monthly, and requires residency in PA/DE/NJ.

You will prioritize on-air sales, script shows, collaborate with planners, and analyze performance to drive actions. Candidates will have a Bachelor's degree in Marketing analytics, Merchandising, or Business and 3+ years of experience, with a passion for data

Qualifications

• Bachelor’s Degree required in Marketing analytics, Merchandising, Business, or relevant field
• 3+ years of experience in merchandising or planning roles
• Data-driven mindset with ability to translate insights into actions

Responsibilities

• Prioritize on-air sales and productivity
• Script assigned shows for all channels
• Collaborate with planning partners across channels
• Strategize items to maximize selling exposures and drive reorders
• Participate in seasonal, quarterly and assortment planning
• Identify promotional opportunities and pricing strategies
• Price products, manage markdowns and margins
• Analyze show/item performance and recommend actions
• Advise on programming adjustments across channels

Skills

Data analysis

Merchandising knowledge

Marketing analytics

Education

Bachelor's degree in Marketing analytics, Merchandising, Business

Job description

QVC Group in West Chester, PA is seeking a Merchandise Planner to transform sales and manage inventory across Culinary, Accessories, & Home Innovations. The role is hybrid, onsite several days monthly, and requires residency in PA/DE/NJ.

You will prioritize on-air sales, script shows, collaborate with planners, and analyze performance to drive actions. Candidates will have a Bachelor's degree in Marketing analytics, Merchandising, or Business and 3+ years of experience, with a passion for data