Data-Driven Shopper & Category Insights Analyst

Crayola

Easton (Northampton County)

Hybrid

USD 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Annual bonus potential
Comprehensive healthcare benefits
Education assistance program
401(k) matching

Job summary

Crayola is seeking a Shopper & Category Insights Analyst in Easton, PA. You will serve as the analytical engine of the Commercial Voice, gathering and analyzing shopper, category, and customer data to drive growth opportunities and customer-specific recommendations.

The role blends data analytics with merchandising, planogram development, and performance measurement. Responsibilities include data integration across syndicated sources, translating insights into actionable outputs, and supporting

Qualifications

  • BA/BS in business, marketing, analytics or related field; MBA preferred.
  • 2-4 years of experience in CPG, category management, shopper insights, or analytics.
  • Strong ability to translate data into clear, actionable insights.

Responsibilities

  • Data Integration & Analysis: collect, integrate, and harmonize data from syndicated sources and POS.
  • Customer Insight Development: translate analysis into tactical recommendations.
  • Planogram & Merchandising Support: develop planograms and shelf recommendations.
  • Execution Measurement & Reporting: track merchandising programs and maintain dashboards.
  • Shopper Research Support: assist in development and analysis of shopper studies.
  • Seasonal & Business Planning Support: support war rooms and readiness reviews.

Skills

Analytical skills
Excel
PowerPoint
Data interpretation
POS data analysis

Education

BA/BS in business/marketing/analytics
MBA preferred

Tools

Blue Yonder/JDA
Circana
Numerator
Retail portals

Job description

Crayola is seeking a Shopper & Category Insights Analyst in Easton, PA. You will serve as the analytical engine of the Commercial Voice, gathering and analyzing shopper, category, and customer data to drive growth opportunities and customer-specific recommendations.

The role blends data analytics with merchandising, planogram development, and performance measurement. Responsibilities include data integration across syndicated sources, translating insights into actionable outputs, and supporting

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