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Sr. Analyst, Category Management

Summary

Analyzes retail sales data and category performance for CPG clients, using POS and syndicated tools to deliver insights and recommendations for assortment and store clustering.

This position is a #Hybrid role, requiring 3 days in the office per week.

You will perform a valuable role in support of the sales team and build a strong partnership with our clients.

You will conduct high-quality analysis and synthesis of multi-source data to evaluate item performance, assortment planning, and store clustering through the modular process, while leveraging effective communication & influencing to orchestrate action.

  • Provide analytical analysis, insights, and recommendations for category management projects and initiatives utilizing retailer POS and NielsenIQ/Circana (IRI) data sources and reporting tools.
  • System tools required: Retailer POS, Circana (IRI)/NielsenIQ
  • Strong analytics, insights, presentation, and storytelling skills
  • Participate in the development of category presentations incorporating syndicated data and other sources of data that address business issues
  • Work closely with CPG Category Management and Space Technology teams to ensure quality results are delivered
  • Keep abreast of client’s KPIs, strategies, innovation, and other important information.
  • Leverage relationships with clients to understand key retailer deliverables, category strategies, and project timelines.
  • Category Analyst/Manager Certification is a plus.

Education Requirements:

  • Bachelor's Degree
  • Related work experience may be substituted for the educational requirement

Work Experience Requirements:

  • 2+ years related experience

Knowledge, Skills, and Abilities Requirements:

  • Demonstrate an advanced degree of proficiency in Windows and related software applications, including Excel, PowerPoint, VB, and advanced macro’s.
  • Experience with syndicated data and/or space management tools.
  • Clearly and concisely communicate relevant information.
  • Identify and leverage relevant data to diagnose situations and identify potential solutions
  • Effectively and independently conduct data mining utilizing CPG math concepts and tools.

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