Hybrid Consumer & Category Insights Lead

Acosta

Charlotte (NC)

Hybrid

USD 70,000 - 100,000

Full time

14 days+
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Job summary

Acosta in Charlotte, NC is seeking a data-driven Analyst/Category Manager to synthesize multi-source data and drive item performance, assortment planning, and store clustering through a modular process. You will leverage effective communication and influencing skills to orchestrate action.

In this role you will partner with clients and business leaders to develop data-driven growth strategies, analyze POS, loyalty, panel, and syndicated data, and deliver actionable recommendations that drive

Qualifications

  • Bachelor's degree required.
  • 3+ years of experience in category management, insights, analytics or CPG sales.
  • Experience with POS, loyalty, panel, and syndicated data (Circana/IRI, NielsenIQ).
  • Advanced Excel skills and strong analytical capabilities.
  • Excellent communication and presentation skills.

Responsibilities

  • Partner with clients and business leaders to develop data-driven growth strategies.
  • Analyze POS, loyalty, panel, and syndicated data to uncover customer and category insights.
  • Deliver actionable recommendations that drive sales, market share, and category growth.
  • Translate consumer, shopper, and category data into clear business opportunities.
  • Develop and present customer, category, and business performance reviews.
  • Collaborate with sales, category management, and analytics teams to support strategic planning.

Skills

Advanced Excel
Analytical skills
Communication skills
Presentation skills

Education

Bachelor's degree

Job description

Acosta in Charlotte, NC is seeking a data-driven Analyst/Category Manager to synthesize multi-source data and drive item performance, assortment planning, and store clustering through a modular process. You will leverage effective communication and influencing skills to orchestrate action.

In this role you will partner with clients and business leaders to develop data-driven growth strategies, analyze POS, loyalty, panel, and syndicated data, and deliver actionable recommendations that drive

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