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Senior Pricing Analyst

Job

Forsyth Barnes

Schiller Park, IL (In Person)

$110,000 Salary, Full-Time

Posted 2 weeks ago (Updated 4 days ago) • Actively hiring

Expires 7/21/2026

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Job Description

Senior Pricing Analyst at Forsyth Barnes Senior Pricing Analyst at Forsyth Barnes in Schiller Park, Illinois Posted in 13 days ago.
Type:
full-time
Job Description:
Position:
Senior Pricing Analyst Industry:
Consumer Salary:
Up to $110,000 base salary +
Benefits Location:
Chicago, Hybrid Contact :
Grant.hutchison@forsythbarnes.com
Overview:
We are supporting a lead consumer organisation that is expanding its pricing analytics and competitive intelligence capability. This role would suit an analytically strong candidate who enjoys working with complex data, building insight, and supporting pricing decisions across a fast paced commercial environment. There are multiple roles available, with one focused more on pricing strategy and another focused more on competitive intelligence. Both roles require strong analytical ability, technical skills, and the confidence to work with large and varied data sets. Key Responsibilities Analyse pricing, customer, product, competitor, and commercial data to identify trends and opportunities. Support the development of pricing strategies across multiple product and customer groups. Build reports, dashboards, and analytical tools to support decision making. Use SQL, R, or Python to extract, clean, analyse, and interpret data. Monitor competitive data and market movements to support pricing recommendations. Work closely with pricing, analytics, commercial, and operational teams. Present findings in a clear and practical way to internal stakeholders. Support testing, measurement, and improvement of pricing initiatives. Help improve the quality, structure, and usability of pricing and competitive intelligence data. Contribute to more automated and scalable pricing processes. Key Requirements Experience in analytics, ideally within pricing, revenue growth management, marketing analytics, supply chain analytics, commercial analytics, or data science. Experience using SQL, R, or Python. Strong analytical skills with the ability to work with complex data sets. Degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field. Strong communication skills with the ability to turn analysis into clear business insight.