Senior Pricing Analyst – Hybrid (Chicago Area)

Camping World; Chicago (IL); Hybrid; USD 77,000 - 118,000; Full time

Benefits offered by this job

Paid Time Off

401(k)

Employee Assistance Program

Good Sam Roadside Assistance

Job summary

Camping World is seeking a Senior Pricing Analyst to blend quantitative analysis with pricing economics, translating market signals into decisions that balance margins and inventory turns. This hybrid role is based in Chicago or Lincolnshire, IL, three days per week.

You will build and refine pricing methodology, maintain dynamic models, and provide data-backed recommendations. A bachelor’s degree and 2+ years of pricing experience are required; proficiency in Excel and SQL is expected, with ML

Qualifications

• Bachelor’s degree in a quantitative field and 2+ years in pricing or revenue management.
• Strong Excel modeling and data analysis skills.
• Experience with SQL and pricing tools is preferred.
• Knowledge of ML applications to pricing is a plus.

Responsibilities

• Assist in building and refining pricing methodology.
• Maintain dynamic pricing models that account for MSRPs, freight costs, regional demand, seasonality, and unit aging to maximize both volume and gross margin.
• Evaluate pricing actions and give management data-backed recommendations.
• Proactively identify opportunities for markdown timing on aged inventory, and analyze price elasticity of products.
• Monitor and review for daily pricing errors.

Skills

Excel (complex financial modeling)

SQL

Pricing algorithms

Price elasticity modeling

Data storytelling

Margin vs volume balance

Education

Bachelor's degree in a quantitative field

Tools

Power Query

Job description

Camping World is seeking a Senior Pricing Analyst to blend quantitative analysis with pricing economics, translating market signals into decisions that balance margins and inventory turns. This hybrid role is based in Chicago or Lincolnshire, IL, three days per week.

You will build and refine pricing methodology, maintain dynamic models, and provide data-backed recommendations. A bachelor’s degree and 2+ years of pricing experience are required; proficiency in Excel and SQL is expected, with ML