Hybrid Merchandise Planner: Data-Driven Forecasting

Entertainment Retail Enterprises, LLC; Town of Florida (NY); Hybrid; USD 75,000 - 105,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Paid time off

Employee discount

401(k)

Job summary

Entertainment Retail Enterprises is seeking a meticulous Merchandise Planner who will develop and communicate merchandise forecasts and strategies across multiple distribution channels. The role involves analyzing historical data, supporting pre-season planning, and managing in-season sales and inventory forecasts to improve sales, margins, and inventory performance.

The ideal candidate will be data-driven, skilled at building reports, identifying risks and opportunities, and partnering with

Qualifications

• Bachelor’s degree in Business or a related field is required.
• 3+ years of related professional experience required.
• U.S. work authorization required.
• Strong understanding of retail fundamentals, inventory management, and forecasting.

Responsibilities

• Drive financial results across multiple channels of distribution.
• Create pre-season forecasts and manage in-season sales forecasts and inventory plans.
• Analyze historical sales and trends to identify risks and opportunities.
• Collaborate with merchandising, marketing, finance, and operations to align product strategies with financial goals.
• Monitor performance and adjust in-season plans as needed.
• Develop reporting tools and gain working knowledge of planning systems.

Skills

Data analysis

Forecasting

Cross-functional collaboration

Effective communication

Education

Bachelor's degree in Business or related field

Tools

Excel

PowerPoint

PivotTables

NetSuite

Job description

Entertainment Retail Enterprises is seeking a meticulous Merchandise Planner who will develop and communicate merchandise forecasts and strategies across multiple distribution channels. The role involves analyzing historical data, supporting pre-season planning, and managing in-season sales and inventory forecasts to improve sales, margins, and inventory performance.

The ideal candidate will be data-driven, skilled at building reports, identifying risks and opportunities, and partnering with