Insights & Growth Manager, Consumer & Category

Acosta

Grand Rapids (MI)

Hybrid

USD 65,000 - 90,000

Full time

14 days+
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Job summary

Acosta in Grand Rapids is seeking a data-driven Category Analyst to conduct multi-source data analysis to evaluate item performance, assortment planning, and store clustering through a modular process.

You will leverage Circana/IRI, POS, loyalty and syndicated data to identify trends, develop actionable recommendations, and present reviews to sales and analytics teams. The role offers a hybrid work arrangement with in-office days.

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.
  • Leverage Circana (IRI), NielsenIQ, loyalty, and POS data to identify trends and opportunities.

Skills

Bachelor's degree
3+ years experience

Education

Bachelor's degree

Tools

Circana/IRI
NielsenIQ
Excel

Job description

Acosta in Grand Rapids is seeking a data-driven Category Analyst to conduct multi-source data analysis to evaluate item performance, assortment planning, and store clustering through a modular process.

You will leverage Circana/IRI, POS, loyalty and syndicated data to identify trends, develop actionable recommendations, and present reviews to sales and analytics teams. The role offers a hybrid work arrangement with in-office days.

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