Revenue Growth Analyst

About the position

As the Revenue Optimization Analyst, you'll play a critical role in delivering fast, actionable insights to optimize revenue growth strategies across our 1,700+ Fridge locations. Your focus will be on identifying quick wins and high-impact opportunities through rapid analysis and data-driven decision-making. This role requires a mix of analytical problem-solving, business acumen, and a strong bias for action. You'll work cross-functionally with General Management, Operations, and Analytics to continually refine strategies to drive revenue, profitability, and customer engagement. If you're a utility player who thrives in numbers, loves solving complex problems, and enjoys turning data into clear, impactful strategies, this role is for you. This role is based in our Chicago, IL, office and requires in-person collaboration with our team.

Responsibilities

• Analyze customer purchase behaviors such as purchase frequency, average spend, and product preferences across Fridge locations to inform assortment strategy.
• Evaluate how supply chain efficiency and inventory management drive revenue, making recommendations that drive optimal stock levels and minimize waste.
• Provide real-time insights to adjust menu, pricing, and promotional strategies.
• Assess the effectiveness of discounts, bundling, and other promotional strategies in driving incremental revenue and customer lifetime value.
• Collaborate with cross-functional teams to test and refine revenue strategies for continuous improvement.
• Rapidly analyze the impact of new products at select locations, isolate true demand from cannibalization, and develop a data-driven expansion strategy.
• Identify which products perform best across regions, customer segments, and time-of-day patterns to recommend the ideal mix for each location.
• Measure the impact of active promotions and determine whether to scale, modify, or discontinue based on data-driven insights.
• Analyze basket-level data, pricing, and customer behavior to recommend strategies that increase conversion rates.

Requirements

• 3+ years of progressive experience in a fast-paced strategy & operations, finance or growth.
• Strong SQL, Python, and/or R skills required to analyze large datasets and extract rapid insights.
• Bachelor's or Master's degree in Business Analytics, Economics, Statistics, Data Science, or a related field.
• Experience with real-time data analysis, forecasting, and pricing strategies to support quick decision-making.
• Ability to turn raw data into clear, actionable recommendations for non-technical stakeholders.
• A natural problem-solver who thrives in a fast-moving, results-driven environment.

Benefits

• Daily Farmer's Fridge meal and office snacks.
• Paid sabbatical program after four years of service.
• 401(k) plan that includes a company match with immediate vesting.
• Encouragement of business transparency through monthly town hall meetings and weekly financial updates.
• Opportunities for cross-functional collaboration and open access to leadership.