Remote Inventory Analytics & Replenishment Specialist

Pitney Bowes; Atlanta (GA); Hybrid; USD 60,000 - 68,000; Full time

Benefits offered by this job

Remote work opportunities

Comprehensive benefits globally (PB)

Job summary

Pitney Bowes in Atlanta is seeking a Supply Chain Inventory Management Specialist to ensure inventory accuracy through transaction documentation, process verification and system review. You will develop replenishment strategies, conduct physical inventories and lead cycle counts.

The role includes designing automated workflows for order management, forecasting models using historical data and market trends, and auditing inventories with data-driven methods.

Qualifications

• Advanced Excel, including Pivot Tables, VLOOKUP, macros and Power Query.
• Strong data analytics and statistical analysis capabilities.
• Experience with workflow automation and forecasting models.
• Ability to audit inventory management workflows and data.
• Understanding of inventory control, cycle counting and replenishment strategies.

Responsibilities

• Analyze inventory data to identify optimization opportunities.
• Design automated workflows for supply order management and cycle count processes.
• Develop forecasting models using historical data, seasonality and market trends.
• Audit physical inventories and lead cycle counts with data-driven methods.
• Statistically analyze cycle count discrepancies and drive corrections.
• Execute replenishment strategies based on predictive analytics.

Skills

Advanced Excel

Data analytics

Workflow automation

Inventory management

Forecasting

Statistical analysis

Process optimization

Education

Some college in related field

Tools

Power BI

Tableau

SQL

ERP systems

Automation tools

Job description

Pitney Bowes in Atlanta is seeking a Supply Chain Inventory Management Specialist to ensure inventory accuracy through transaction documentation, process verification and system review. You will develop replenishment strategies, conduct physical inventories and lead cycle counts.

The role includes designing automated workflows for order management, forecasting models using historical data and market trends, and auditing inventories with data-driven methods.