Remote Demand Planner: Retail Forecast & Analytics

Bob's Discount Furniture; Pennsylvania; Hybrid; USD 72,000 - 90,000; Full time

Benefits offered by this job

Employee Discount starting on Day 1

Competitive Medical, Dental, andVision

401(k) Profit Sharing Plan

Pet Insurance

Life Insurance

Professional Development: Tuition Reim

Career progression pathways

Generous paid time off

Job summary

Bob’s Discount Furniture is seeking a Demand Planner to develop and maintain accurate demand forecasts that support sales, inventory, and customer service objectives. The role partners across functions to translate data into actionable plans and works in a professional office or remote environment with frequent virtual meetings.

The successful candidate will bring strong skills in forecasting, data analysis, and cross-functional collaboration, with experience in retail or consumer goods and

Qualifications

• Bachelor’s degree in Supply Chain, Business, Finance or related field.
• 3–5+ years of demand planning, forecasting or inventory planning experience.
• Experience with forecasting tools, data analysis and reporting.

Responsibilities

• Develop and maintain weekly, monthly and seasonal demand forecasts.
• Translate data, trends and inputs into actionable demand plans.
• Collaborate cross-functionally with Merchandising, Sales, Marketing, Supply Chain, Inventory and Finance.
• Support alignment of forecasts with sales, inventory, margins and financial targets.
• Incorporate product launches and lifecycle changes into forecasts.

Skills

Demand forecasting

Data analysis

Forecasting tools

Microsoft Excel

Analytical skills

Communication

Education

Bachelor’s degree in Supply Chain

Bachelor’s degree in Business

Bachelor’s degree in Finance

Tools

Power BI

ERP systems

Forecasting tools

Job description

Bob’s Discount Furniture is seeking a Demand Planner to develop and maintain accurate demand forecasts that support sales, inventory, and customer service objectives. The role partners across functions to translate data into actionable plans and works in a professional office or remote environment with frequent virtual meetings.

The successful candidate will bring strong skills in forecasting, data analysis, and cross-functional collaboration, with experience in retail or consumer goods and