Ecommerce Demand Forecaster & Analytics Analyst

Azar International Inc; Paramus (NJ); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Azar International Inc in Paramus, NJ is seeking an Ecommerce Analyst and Demand Forecaster to drive our online sales strategy. You will analyze data to uncover trends, develop forecasting models, and collaborate with marketing and sales to align strategies with consumer demand.

The role focuses on inventory optimization, KPI reporting, and creating dashboards for data presentation, requiring proficiency in Excel, SQL, Python, and visualization tools.

Qualifications

• Bachelor’s degree in data analytics, statistics or related field.
• 2+ years in ecommerce analytics or demand forecasting.
• Proficiency in Excel, SQL or Python.
• Experience with data visualization tools like Tableau or Power BI.
• Excellent communication and collaborative skills.

Responsibilities

• Analyze ecommerce data to identify trends and insights.
• Develop and maintain demand forecasting models to optimize inventory.
• Collaborate with marketing and sales to align strategies with demand.
• Monitor KPIs and report on ecommerce performance.
• Create dashboards and visualizations for data presentation.
• Conduct competitive analysis to identify opportunities and threats.
• Support ad-hoc data requests for strategic initiatives.

Skills

Excel

SQL

Python

Tableau

Power BI

Communication

Analytical thinking

Education

Bachelor’s degree in Data Analytics, Statistics, or related field

Tools

Excel

SQL

Python

Tableau

Power BI

Job description

Azar International Inc in Paramus, NJ is seeking an Ecommerce Analyst and Demand Forecaster to drive our online sales strategy. You will analyze data to uncover trends, develop forecasting models, and collaborate with marketing and sales to align strategies with consumer demand.

The role focuses on inventory optimization, KPI reporting, and creating dashboards for data presentation, requiring proficiency in Excel, SQL, Python, and visualization tools.