Category Manager/Data Analytics Lead

FOODSCIENCE LLC • Williston, VT

15h

About The Position

FoodScience is seeking a Category Manager / Data Analytics Lead to transform complex data into actionable insights that drive category growth, retail performance, and long-term brand strategy. This is a high-impact analytics role that directly influences commercial decision-making across ecommerce, retail, and omni-channel environments.

FoodScience offers 9 paid holidays per year, including your birthday! One paid week off during our yearly plant shutdown, and a competitive Paid Time Off (PTO) program that starts to accrue immediately. Our benefits include health insurance with options for a Health Savings Account (HSA), Flexible Spending Account (FSA), life insurance, dental, vision, and a variety of other additional insurance options to fit your needs. Other perks include employee discounts and professional development. You’ll work with a supportive, experienced team that wants to see you succeed.

This role serves as the internal category and analytics subject matter expert, responsible for enabling annual brand and retail line reviews, identifying innovation and distribution opportunities, and supporting long-range growth strategies through advanced business and shopper insights.

This is a strategic analytics role with direct influence on revenue growth, market share expansion, and innovation planning.

Requirements

• 3–5 years of experience in category management, shopper insights, business analytics, ecommerce analytics, or related commercial analytics roles
• Experience working with syndicated data sources such as Nielsen, IRI/Circana, SPINS, or similar datasets
• Strong proficiency in Microsoft Excel and data analysis functions
• Experience analyzing ecommerce and digital shelf performance metrics (Stackline,Profitero, One Click Retail,Pacvue, etc. preferred)
• Experience building dashboards or using visualization tools such as Power BI or Tableau preferred
• Demonstrated ability to translate data into clear business recommendations
• Bachelor’s degree in Business, Marketing, Economics, Analytics, Data Science, or related field preferred

Responsibilities

• Lead category performance analysis across key customers, channels, and platforms
• Identify growth opportunities, risks, and emerging trends
• Analyze omni-channel performance, including digital shelf metrics and ecommerce conversion drivers
• Evaluate syndicated data, retailer analytics, and internal business performance datasets
• Translate shopper, consumer, and marketplace data into clear, actionable recommendations
• Support annual brand planning and retail line review processes
• Provide insights that inform innovation, portfolio optimization, assortment strategy, and pricing decisions
• Deliver post-campaign and promotional performance analysis to improve future effectiveness
• Develop and maintain category dashboards, scorecards, and reporting frameworks
• Improve visibility and accessibility of data across cross-functional teams
• Identify and implement process improvements that enhance reporting efficiency and analytical accuracy
• Collaborate with external data partners and analytics platforms to elevate insight capabilities
• Partner with Sales, Marketing, Ecommerce, Brand, and Finance teams to support revenue growth and strategic planning
• Develop insight-driven presentations and category reviews for internal and customer-facing teams
• Serve as a trusted analytics partner across commercial functions

Benefits

• FoodScience offers 9 paid holidays per year, including your birthday!
• One paid week off during our yearly plant shutdown, and a competitive Paid Time Off (PTO) program that starts to accrue immediately.
• Our benefits include health insurance with options for a Health Savings Account (HSA), Flexible Spending Account (FSA), life insurance, dental, vision, and a variety of other additional insurance options to fit your needs.
• Other perks include employee discounts and professional development.
• You’ll work with a supportive, experienced team that wants to see you succeed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level