Revenue Manager

Connect Search, LLC; Chicago (IL); Hybrid; USD 95,000 - 105,000; Full time

Job summary

Connect Search, LLC is partnering with a large private equity-backed consumer/hospitality company in Chicago to hire a Revenue Manager who will own pricing, forecasting, and revenue strategy for a portfolio of operating locations.

Ideal candidates have 2–4 years in analytical roles such as investment banking, credit, or private equity, strong Excel skills, and interest in applying AI and LLM tools to pricing. This Chicago-based, hybrid position offers strong upside and EBITDA impact.

Qualifications

• 2–4 years of analytical experience in areas like investment banking, credit, private equity, investment analysis, strategic finance, pricing, or predictive analytics.
• Strong academic background and quantitative capabilities.
• Proficiency with Excel and data analysis to influence pricing decisions.

Responsibilities

• Own pricing, forecasting, and revenue strategy for a portfolio of operating locations.
• Develop models and analytics to support pricing decisions and revenue optimization.
• Forecast demand and performance analytics; build tools and automation using AI/LLMs.
• Interact with GMs, Finance, Sales, and senior leadership to drive EBITDA impact.

Skills

Pricing

Forecasting

Revenue analytics

Excel

AI tools

Tools

LLMs

Job description

Our team is working on an interesting opportunity with a large, private equity-backed consumer/hospitality company in Chicago that could be a strong fit for someone coming out of investment banking, credit, private equity, or a similar analytical role.

They're hiring a Revenue Manager to own pricing, forecasting, and revenue strategy for a portfolio of operating locations. It's a highly analytical role, but with much more direct ownership of business decisions than you typically get in a traditional finance seat.

A few highlights:

• $95-105K base + 15% target bonus, with upside to ~25%
• Chicago-based, hybrid schedule
• Own pricing and revenue strategy for $100M+ operating businesses
• Heavy forecasting, modeling, demand analysis, pricing, and performance analytics
• Build the models and systems that automate pricing and forecasting, using LLMs and AI tools to speed up analysis
• Regular interaction with GMs, Finance, Sales, and senior corporate leadership
• Opportunity to see how analytical decisions directly impact revenue and EBITDA
• Large, sophisticated company backed by major institutional private equity sponsors

The team is shifting from executing pricing and forecasting by hand to building the models and systems that automate that work. They want people who can pick up the underlying theory quickly and who have the analytical depth to use AI and LLM tools to build their own tools and run rigorous analyses.

They're particularly interested in candidates with a strong academic background and roughly 2 to 4 years of analytical experience in areas like investment banking, credit, private equity, investment analysis, strategic finance, pricing, or predictive analytics.

The ideal person is highly quantitative, strong in Excel, intellectually curious, comfortable using AI to work faster, and interested in moving closer to the actual operating and commercial side of a business.

It's a good opportunity for someone who likes the analytical rigor of finance but wants broader ownership and a more tangible connection between their work and business performance.