Competitive Intelligence Manager - Radwell

Who We Are:

At Radwell, we’ve been shaping a brighter future for industry for over 45 years. As a global leader in Automation, MRO (Maintenance, Repair, and Operations) and Electrical solutions, we’re committed to providing top-notch services to our customers. We help customers maximize their uptime and performance, supplying new and pre-owned parts, including obsolete and hard-to-find items. Additionally, our sophisticated repair technicians can repair customers’ parts and get those back into production quickly. Radwell is a global business with locations throughout the United States, Canada, Mexico, and Europe. Come challenge yourself and be a part of our rapid growth story.

The position is full-time and will be based at our Chicago-area location in Downers Grove, IL.

Job Overview:

We are seeking a highly analytical and results-driven Pricing Competitive Intelligence Manager to join our team. In this role you will be responsible for gathering, analyzing, and synthesizing competitive pricing data to provide actionable insights that support our pricing strategies. You will work closely with internal teams such as IT to ensure confidence in the data collected along with setting scraping cadence and validation requirements. This role will be pretty hands on and will stay current with market trends by product segment to inform pricing decisions. This role requires a blend of analytical rigor, strategic thinking, and cross-functional collaboration.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of pricing scientists and analysts, fostering a culture of collaboration and continuous improvement.

• Competitive Intelligence & Market Research: Manage the collection and analysis of competitor pricing data, market trends, and customer behavior. Provide insights on competitor strategies and identify potential pricing opportunities or risks.

• Tools & Methodologies: Leverage competitive intelligence tools, data platforms, and industry research to automate and streamline competitive intelligence processes. Leverage Python/ R to build validation frameworks and scaling of the matches to the remaining millions of items for price comparison. Stay current with emerging trends in competitive pricing and market changes.

• Pricing Strategy and Optimization:Manage the creation of data-driven pricing strategies that align with the company's revenue and profit goals, taking into account market conditions, customer behavior, and competitor pricing.Build in house price optimization engine applying machine learning and optimization techniques to determineoptimal pricing and discounting strategies for products and services

• Data Analysis & Insights: Analyze large (sometimes messy and incomplete) datasets, including sales, customer, and market data, to uncover insights and trends that can inform pricing decisions. Build and maintain pricing models to forecast demand elasticity, optimize price points, and identify opportunities for margin improvement.

• Collaboration: Work closely with cross-functional teams such as Marketing, Product, and Finance to ensure pricing strategies are aligned with overall business objectives and market positioning.

• Reporting & Presentation: Prepare and present pricing analysis, insights, and recommendations to senior management and key stakeholders, ensuring that data-driven decisions are easily understood and actionable.

• Continuous Improvement: Stay current with developments in data science, machine learning, and pricing methodologies. Continuously assess the performance of pricing strategies and iterate based on feedback and market conditions.

Qualifications:

Education:

• Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field (Master'spreferred).

Experience:

• 5+ years of experience in analytics, pricing science, revenue management, or a similar analytical role.

• Proven track recordof building pricing models, pricing optimization techniques, and demand forecasting.

• Familiarity with machine learning, regression models, and statistical analysis in the context of pricing.

• Experience in managing teams and leading cross-functional initiatives.

Skills & Competencies:

• Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R, Excel, etc.).

• Solid understanding of pricing strategies, elasticity, segmentation, and competitive analysis.

• Ability to interpret complex data and translate it into actionable pricing recommendations.

• Strong problem-solving skills and a creative, data-driven mindset.

• Excellent communication and presentation skills, with the ability to explain technical findings to non-technical stakeholders.