Hybrid Consumer & Category Insights Manager

Acosta

Bloomfield (NJ)

Hybrid

USD 75,000 - 85,000

Full time

14 days+
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Job summary

Acosta is seeking a data-driven Marketing Analytics professional in New Jersey for a hybrid role (3 days in office per week). You will conduct high-quality analysis and synthesis of multi-source data to evaluate item performance, assortment planning, and store clustering, while communicating insights and influencing action.

The position requires 3+ years in analytics or related field, advanced Excel, and strong presentation skills.

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

Data analysis
Excel
Communication

Education

Bachelor's degree

Tools

Circana/IRI
NielsenIQ
POS data

Job description

Acosta is seeking a data-driven Marketing Analytics professional in New Jersey for a hybrid role (3 days in office per week). You will conduct high-quality analysis and synthesis of multi-source data to evaluate item performance, assortment planning, and store clustering, while communicating insights and influencing action.

The position requires 3+ years in analytics or related field, advanced Excel, and strong presentation skills.

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