Pricing Strategy Analyst: Data-Driven Growth

Radwell International; Willingboro Township (NJ); On-site; USD 80,000 - 105,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Disability benefits

Life insurance $50,000

3% 401(k) plan

15 days PTO annually

Job summary

Radwell is seeking a Pricing Analyst to design data-driven pricing strategies, build an in-house price optimization engine, and analyze sales data to maximize profitability.

The role requires a strong background in statistics, economics, or data science, plus experience with pricing models and forecasting. A collaborative, communication-focused mindset is essential for presenting insights to leadership.

Qualifications

• Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field (Master's or Ph.D. is a plus).
• 1+ years of experience in analytics, pricing science, revenue management, or a similar analytical role.
• Proven experience with pricing models, pricing optimization techniques, and demand forecasting.
• Familiarity with machine learning, regression models, and statistical analysis in the context of pricing.

Responsibilities

• Pricing Strategy and Optimization: Design and implement data-driven pricing strategies with price optimization engine.
• Data Analysis & Insights: Analyze large datasets to uncover insights for pricing decisions.
• Competitive Intelligence: Monitor competitor pricing and industry benchmarks.
• Collaboration: Work with Marketing, Product, and Finance.
• Reporting & Presentation: Prepare and present pricing analysis to senior management.
• Continuous Improvement: Stay updated on data science and pricing methods.

Skills

SQL

Python

R

Excel

Pricing strategies

Data storytelling

Communication skills

Education

Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field

Master's or Ph.D. is a plus

Job description

Radwell is seeking a Pricing Analyst to design data-driven pricing strategies, build an in-house price optimization engine, and analyze sales data to maximize profitability.

The role requires a strong background in statistics, economics, or data science, plus experience with pricing models and forecasting. A collaborative, communication-focused mindset is essential for presenting insights to leadership.