Sr Category Manager (Retail Analytics)

AcostaBloomington, FL
Hybrid

About The Position

This is a hybrid position working 3 days per week in the office. As a key member of the team, you will bring data to life by connecting insights, trends, and shopper behaviors into clear stories that inform strategy. You will leverage syndicated and customer data to uncover what’s happening in the market—and more importantly, why it matters. Your ability to synthesize complex information and translate analysis into actionable, executive‑ready storytelling will help shape category and commercial strategies for a portfolio of well‑known Nutrition brands. This is not a Power BI Developer role.

Requirements

  • Bachelor’s degree in business analytics, market research, statistics, or any related field
  • 5+ years related work experience, preferably in the CPG industry
  • Hands-on experience with syndicated and customer scan data (e.g., Nielsen, Numerator), using insights to shape strategic narratives
  • Proven ability to synthesize complex data into clear, actionable recommendations that guide business decisions
  • Strong communication and presentation skills, with confidence in telling concise, executive‑ready stories
  • Detail‑oriented, analytical mindset with the ability to manage multiple workstreams while maintaining clarity and focus in a fast‑paced environment

Responsibilities

  • Design and deliver automated, scalable reporting solutions (Power BI, Excel, syndicated databases) to track category performance, distribution, assortment, pricing, and promotional effectiveness
  • Translate large, complex datasets (POS, Nielsen/Circana, panel, loyalty, internal shipment data) into actionable insights, predictive hypotheses, and prioritized growth opportunities
  • Build and maintain Power BI dashboards for category health monitoring, executive scorecards, and ad‑hoc analytics, reducing manual reporting cycle time
  • Partner with retailer analytics and insights teams to co‑develop advanced diagnostic and prescriptive analyses supporting category strategy decisions
  • Contribute to executive‑ready presentations including market trends, competitive analytics, panel data, whitespace identification, SWOT, and assortment optimization
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