Commercial Analyst I

About the role

American Greetings is seeking an entry‑level Commercial Analyst to join the Insights & Analytics team. The analyst will learn AG data sources, product hierarchies, and retailer attributes to perform point‑of‑sale (POS) analysis and retailer reporting using mathematical and category‑management techniques. The role involves developing retailer‑specific reports, analyses, and insights from data sources such as POS, shipments, product footage/space, retailer loyalty‑card data portals, and Circana, while building relationships with Sales, Occasion, Promotions, and other analytics teams. The position reports to the Director of Commercial Analytics.

This position requires regular on‑site work at the Creative Studios in Westlake, Ohio; candidates must reside in Northeast Ohio. Remote work and relocation assistance are not available.

Responsibilities

• Participate in training and learning opportunities for corporate data sources, analytical tools, and business functions.
• Perform ad‑hoc retailer analytics and recurring analytical processes/reports under direction of the Director of Commercial Analytics or Senior Data Analysts.
• Develop basic proficiency in data analysis/mining and present results using tools such as SQL, R, Python, Excel, retailer loyalty‑card portals, Power BI, etc.
• Collaborate with Sales team leadership to build fact‑based selling relationships with retailer buying and merchandising teams.
• Develop working knowledge of retailer joint‑planning techniques and leverage retailer loyalty‑card portal data.
• Create presentations used by Sales teams to communicate product sales performance during retailer meetings and headquarters visits.
• Communicate analysis and insights to internal clients, both verbally and in writing.
• Other duties as assigned.

Requirements

• 1+ years of experience in a quantitative role (e.g., summer internship or graduate assistantship) – helpful but not required.
• Familiarity with Excel, R, Python, SAS, SQL, or similar large‑database applications – helpful.
• Bachelor’s degree in statistics, operations research, applied mathematics, engineering, or another quantitative discipline.
• Preferred: Master’s degree in one of the above disciplines.

Skills

• Quantitative skills with ability to apply statistical and data‑analysis techniques.
• Programming and analytical tools experience: R, Python, SAS, SPSS, SQL, Power BI, Tableau, etc.
• Working knowledge of Excel and PowerPoint.
• Strong accuracy and attention to detail.
• Effective oral and written communication and interpersonal skills.