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Category Insights Data AnalystUniversalbeauty • Glendale Heights, Illinois, United States
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Category Insights Data Analyst

Universalbeauty
  • US
    Glendale Heights, Illinois, United States
  • US
    Glendale Heights, Illinois, United States
Postuler Maintenant

À propos

The Category Insights Data Analyst supports Sales, Marketing, and Operations by turning syndicated, customer, and internal data into actionable insights for the personal care category. This role identifies category trends, shopper behavior, competitive activity, pricing, promotion, and distribution opportunities to drive growth across the business.
Key Responsibilities
Analyze syndicated and customer data sources such as Nielsen, Circana/IRI, Kantar, and Mintel to identify category, brand, and competitive trends in personal care.
Deliver insights on pricing, promotion, distribution, assortment, and shopper behavior to support business decisions.
Build and maintain dashboards, scorecards, and recurring reports for Sales and leadership using Power BI and other reporting tools.
Partner cross-functionally with Sales, Marketing, Finance, and Operations to align plans and performance tracking.
Support forecasting, opportunity analysis, line reviews, customer presentations, and inventory and demand monitoring to identify risks and growth opportunities.
Support operational execution through inventory tracking, replenishment coordination, item setup, product launches, and maintenance of customer systems.
Maintain confidentiality and ensure the secure handling of company, customer, and category data.
As part of a founder‑led, growing organization, support additional projects, analyses, and cross‑functional initiatives that contribute to business performance and strategic direction.
Improve reporting efficiency through automation, standardized templates, and streamlined workflows.
Requirements
Bachelor's degree in Business, Analytics, Economics, Statistics, or a related field.
4–8+ years of experience in category insights, analytics, or a related CPG role, preferably in personal care, beauty, or wellness.
Strong experience with syndicated data and the ability to turn complex data into clear business recommendations.
Advanced Power BI and reporting skills, including dashboard development, data modeling, and automation.
Strong communication skills and the ability to work effectively across functions.
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  • Glendale Heights, Illinois, United States

Compétences linguistiques

  • English
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