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# Ecommerce Analyst Forecasting IN PERSON ONLY -PARAMUS NJ

- **Company:** Mount Franklin Foods, LLC
- **Location:** Saddle Brook, NJ, United States
- **Experience:** Experienced
- **Salary:** $55,000.0 - $65,000.0
- **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.careerjet.com/job/us80f3937b157c85b5a0f2173e4d2b595a/eaa

## 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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