Entry-Level Commercial Analytics Analyst — On-Site NE Ohio

American Greetings; Westlake (OH); On-site; USD 50,000 - 65,000; Full time

Job summary

American Greetings is seeking an entry level Commercial Analyst for our Insights & Analytics team in Westlake, Ohio. This on-site role focuses on learning AG data sources, product hierarchies, and retailer attributes to complete POS analysis and retailer reporting using quantitative techniques.

The analyst will learn business processes, build relationships with Sales and analytics teams, and develop retailer-specific reports using data sources like POS, shipments, and loyalty portal data.

Qualifications

• Bachelor’s Degree in statistics, operations research, applied mathematics, engineering, or other quantitative discipline.
• 1+ years experience; internship helpful but not required.
• Familiarity with Excel, R, Python, SAS, SQL, or similar large database applications.

Responsibilities

• Participates in training and learning opportunities for corporate data sources and analytical tools.
• Performs ad-hoc retailer analytics and recurring analytical reports as needed.
• Builds proficiency in data analysis/mining and presents results using tools (SQL, R, Python, Excel, Power BI, Tableau).
• Works with Sales leadership to develop a fact-based selling relationship with retailer teams.
• Develops presentations used by Sales to communicate product sales performance at meetings.

Skills

Quantitative analysis

Excel

PowerPoint

R

Python

SAS

SQL

Power BI

Tableau

Communication

Education

Bachelor's degree in statistics or quantitative field

Master's degree preferred

Tools

Excel

Power BI

Tableau

SAS

SPSS

SQL

Job description

American Greetings is seeking an entry level Commercial Analyst for our Insights & Analytics team in Westlake, Ohio. This on-site role focuses on learning AG data sources, product hierarchies, and retailer attributes to complete POS analysis and retailer reporting using quantitative techniques.

The analyst will learn business processes, build relationships with Sales and analytics teams, and develop retailer-specific reports using data sources like POS, shipments, and loyalty portal data.