Company

Food & Beverage

CategoryandInsightsManager

US FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Category and Insights Manager. Skills: Category performance analysis, Shopper insights development, Syndicated data management, Consumer behavior analysis. Own category performance analysis. Develop shopper insights”

Industry & Context.

Food & Beverage
Problems you'll solve

Analytical capabilities; Simplify complex data

Eligibility Requirements

Travel opportunities United States

What They're Looking For.

Must Have

5+ years experience in category management, 5+ years experience in business analytics, 5+ years experience in consumer insights, Experience working with grocery retail channels, Experience working with mass retail channels, Experience working with natural retail channels, Experience working with specialty retail channels, Proficiency with syndicated data platforms, Excel skills, PowerPoint skills, Deep understanding of retail dynamics, Deep understanding of category strategy, Deep understanding of shopper marketing principles, Analytical abilities, Storytelling abilities, Excellent presentation skills, Excellent communication skills

Nice to Have

CPG industry experience preferred, Food & beverage industry experience preferred, Exposure to BI tools preferred, Experience influencing external retail partners preferred

What You'll Do.

Own category performance analysis

Develop shopper insights

Transform data into recommendations

Drive brand positioning

Manage syndicated data sources

Track category performance

Track brand performance

Track competitor performance

Analyze pricing trends

Analyze distribution trends

Analyze merchandising trends

Identify growth drivers

Identify whitespace opportunities

Develop category stories

Develop customer-facing presentations

Support retail engagement

Support sell-in strategies

Conduct consumer research

Conduct shopper research

Understand motivations

Understand consumption occasions

Build reporting tools

Translate performance data

Provide data-backed recommendations

Support brand strategy

How You'll Work.

Team & Collaboration

Partner with Sales; Collaborate cross-functionally; Align insights with objectives

Communication Scope

Customer presentations; Influencing stakeholders; Influencing retail partners

Full Job Description

## Accountabilities You will own category performance analysis and shopper insights development, transforming syndicated and consumer data into strategic recommendations that drive retail growth and brand positioning. Own and manage syndicated data sources to track category, brand, and competitor performance across key retail channels. Analyze sales, pricing, distribution, and merchandising trends to identify growth drivers, risks, and whitespace opportunities. Develop category stories and customer-facing presentations in partnership with Sales to support retail engagement and sell-in strategies. Conduct consumer and shopper insights research, both quantitative and qualitative, to understand behavior, motivations, and consumption occasions. Build dashboards, scorecards, and recurring reporting tools that translate performance data into actionable business insights. Support innovation and brand strategy by providing data-backed recommendations for new product development and category positioning. Collaborate cross-functionally with Sales, Marketing, Innovation, and Finance to align insights with broader business objectives. Requirements This role requires strong analytical capabilities, category management expertise, and the ability to translate data into compelling commercial narratives within a fast-paced consumer goods environment. 5+ years of experience in category management, business analytics, or consumer insights, preferably within CPG or food & beverage industries. Experience working with grocery, mass, natural, and/or specialty retail channels. Proficiency with syndicated data platforms such as Nielsen, IRI, SPINS, or similar shopper and retail data tools. Strong Excel and PowerPoint skills, with exposure to BI tools such as Tableau or Power BI considered a plus. Deep understanding of retail dynamics, category strategy, and shopper marketing principles. Strong analytical and storytelling abilities, with the capacity to simplify complex data into clear insig

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