Business Data Analyst – Inventory Forecasting

Mai Placement; Newark (NJ); On-site; USD 94,000 - 127,000; Full time

Job summary

Mai Placement is seeking a Business Data Analyst to join its Inventory Forecasting team in Newark, NJ. The role centers on analyzing demand data, identifying trends, and supporting strategic inventory decisions to optimize supply and distribution processes.

You will collaborate with purchasing, operations, and sales to align forecasts with inventory needs, develop robust reporting tools, and drive improvements in forecasting accuracy while managing multiple priorities in a fast-paced environment.

Qualifications

• 2+ years of experience in data analysis, demand forecasting, inventory management, or related field.
• Strong analytical skills and experience working with large datasets.
• Strong Microsoft Excel skills.
• Ability to identify trends, discrepancies, risks, and opportunities within data.
• Highly organized with excellent attention to detail.
• Strong sense of ownership, responsibility, and accountability.
• Excellent communication and follow-up skills.
• Self-motivated, proactive, and comfortable taking initiative.
• Ability to work effectively across multiple departments in a fast-paced environment.

Responsibilities

• Analyze historical data, sales trends, and inventory activity to support accurate demand forecasting.
• Monitor inventory levels and proactively identify potential shortages, excess inventory, risks, and opportunities.
• Develop and maintain reports, spreadsheets, and analytical tools to support business decisions.
• Collaborate with purchasing, operations, and sales teams to align forecasts, inventory needs, and priorities.
• Take ownership of key forecasting and inventory processes and ensure deliverables are completed accurately and on time.
• Lead follow-ups with cross-functional teams to maintain accountability and keep projects moving.
• Review large datasets and translate findings into clear, actionable recommendations.
• Identify opportunities to improve forecasting accuracy, reporting, and operational efficiency.
• Manage multiple priorities while consistently meeting deadlines.

Skills

Data analysis

Demand forecasting

Inventory management

Excel

Attention to detail

Ownership

Communication

Job description

Business Data Analyst – Inventory Forecasting

Newark, NJ
$110,000
Full-Time | 8:00 AM–5:00 PM

Position Overview

A growing company is seeking a highly analytical, detail-oriented, and proactive Business Data Analyst to join its Inventory Forecasting team.

This role will support demand planning and inventory management by analyzing data, identifying trends, and working closely with purchasing, operations, and sales. The ideal candidate is organized, takes ownership of their responsibilities, follows through consistently, and is comfortable driving projects forward in a fast-paced environment.

Key Responsibilities

• Analyze historical data, sales trends, and inventory activity to support accurate demand forecasting
• Monitor inventory levels and proactively identify potential shortages, excess inventory, risks, and opportunities
• Develop and maintain reports, spreadsheets, and analytical tools to support business decisions
• Collaborate with purchasing, operations, and sales teams to align forecasts, inventory needs, and priorities
• Take ownership of key forecasting and inventory processes and ensure deliverables are completed accurately and on time
• Lead follow-ups with cross-functional teams to maintain accountability and keep projects moving
• Review large datasets and translate findings into clear, actionable recommendations
• Identify opportunities to improve forecasting accuracy, reporting, and operational efficiency
• Manage multiple priorities while consistently meeting deadlines

Qualifications

• 2+ years of experience in data analysis, demand forecasting, inventory management, supply chain, or a related field
• Strong analytical skills and experience working with large datasets
• Strong Microsoft Excel skills
• Ability to identify trends, discrepancies, risks, and opportunities within data
• Highly organized with excellent attention to detail
• Strong sense of ownership, responsibility, and accountability
• Excellent communication and follow-up skills
• Self-motivated, proactive, and comfortable taking initiative
• Ability to work effectively across multiple departments in a fast-paced environment