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# Ecommerce Analyst Forecasting IN PERSON ONLY -PARAMUS NJ

- **Company:** Azar International, Inc.
- **Location:** Paramus, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Files, Data Presentation, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Analytics
- **Published:** September 20, 2026
- **Apply:** https://www.wayup.com/i-j-Ecommerce-Analyst-Forecasting-IN-PERSON-ONLY-PARAMUS-NJ-Azar-International-Inc-566101035859134/

## About the Role

Bachelor's degree in Data Analytics, Statistics, or a related field.
2+ years of experience in ecommerce analytics or demand forecasting.
Proficiency in data analysis tools such as Excel, SQL, or Python.
Strong analytical skills with the ability to interpret complex data sets.
Experience with data visualization tools like Tableau or Power BI.
Excellent communication skills to present findings to stakeholders.
Detail-oriented with a strong problem-solving mindset.
Ability to work collaboratively in a fast-paced environment.

## Description

Join Azar International Inc in Paramus NJ as an Ecommerce Analyst and Demand Forecaster, where you'll play a crucial role in driving our online sales strategy. We are looking for a data-driven individual who is passionate about leveraging analytics to enhance customer experience and optimize inventory management.
Responsibilities:
Analyze ecommerce data to identify trends and insights that inform business decisions.
Develop and maintain demand forecasting models to optimize inventory levels.
Collaborate with marketing and sales teams to align strategies with consumer demand.
Monitor and report on key performance indicators (KPIs) related to ecommerce performance.
Utilize statistical tools and methodologies to improve forecasting accuracy.
Assist in the creation of dashboards and visualizations for data presentation.
Conduct competitive analysis to identify market opportunities and threats.
Support ad-hoc data requests and analysis to drive strategic initiatives.


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