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Menu Assortment

2 months ago

Chicago, Illinois, United States Farmer's Fridge Careers Full time
About This Role

The Menu Assortment & Pricing Strategy Manager will be a key leader responsible for developing and executing the strategic plan for the Farmer's Fridge menu assortment across 1400+ unique Fridges and 500+ Retail locations.

Key Responsibilities:
  • Customer & Fridge Analysis:
    • Analyze customer purchase behaviors such as purchase frequency, average spend, and product preferences across Fridge locations to inform assortment strategy.
    • Analyze product performance across different Fridge segments; manage assortment and inform product prioritization.
    • Identify high-performing locations and replicate successful strategies in underperforming locations.
  • Assortment Strategy:
    • Analyze product performance across different lifecycle stages and segments to inform assortment decisions and product prioritization.
    • Set planogram strategy, creating highly customized menus by fridge population to maximize trial and repeat purchases.
    • Collaborate with Menu R&D & Innovation teams to conceptualize, test, and introduce new menu items that drive customer monetization.
    • Partner with Data Science to optimize Fridge assortment through data science and machine learning.
  • Pricing Strategy:
    • Design and implement A/B price tests to evaluate customer price sensitivity and determine optimal pricing for each market.
    • Develop and execute targeted bundle offers and promotional strategies to drive year-over-year comps across Fridge locations.
    • Build merchandising strategies and go-to-market plans for new products/categories.
    Requirements:
    • Bachelor's or Master's degree in Economics, Statistics, Analytics, or another highly analytical field and/or a minimum of 5 years of experience in a strategy or analytics role for D2C consumer goods or retailer, with a focus on digital channels
    • Advanced Excel skills are required, with the ability to manipulate raw data efficiently
    • Proficiency in data analysis tools such as SQL, Python, R
    • Familiarity with machine learning algorithms for clustering, predictive analytics, and pricing analysis is a plus
    • Excellent communication skills, capable of distilling complex topics and information into concise, actionable insights