Senior Pricing Analyst

PGW Auto Glass; Cranberry Township (Butler County); Hybrid; USD 90,000 - 120,000; Full time

Job summary

PGW Auto Glass, LLC. is seeking a Senior Pricing Analyst to drive data-driven pricing strategies for the North American aftermarket replacement glass market.

You will conduct analyses, model pricing, and collaborate with sales, finance, operations, supply chain, and IT to optimize profitability and customer value. You will develop repeatable reports, monitor market trends, and support rebate administration while communicating insights to leadership.

Qualifications

• 5+ years of relevant business experience.
• Bachelor’s Degree in Business, Finance, Economics, Engineering, IT, or related field.
• Strong analytical skills with ability to join and interpret datasets.
• Advanced Excel skills for data manipulation and analysis.
• Experience with SQL for querying and data manipulation.
• Ability to prioritize tasks and work cross-functionally.

Responsibilities

• Perform data mining, aggregation, modeling, and analysis to identify price improvement opportunities.
• Provide customer-specific sell-side pricing analysis and recommendations.
• Manage market and segment pricing to maintain competitive positioning.
• Develop, present, and maintain repeatable and ad-hoc pricing reports.
• Collaborate with sales, operations, finance, and IT to implement pricing strategies.
• Support rebate administration and reporting.
• Document and refine pricing processes to improve efficiency.
• Act as liaison between sales and operations teams.

Skills

5+ years experience

Analytical skills

Excel proficiency

Cross-functional teamwork

Strong communication

Education

Bachelor's degree

Tools

SQL

Tableau

Python

Job description

PGW Auto Glass is seeking a strategic thinker with a passion for data-driven decision-making for our team. As a Senior Pricing Analyst, you will conduct comprehensive analyses to support profitability and sales initiatives in the aftermarket replacement glass market. This role collaborates with field management, finance, sales, operations, supply chain, and IT to develop and implement profitable, customer-centric pricing solutions. This position provides daily analytical and administrative support to the sales team while proactively researching and managing market-based and customer-specific pricing strategies across North America.

Key Responsibilities

• Perform data mining, aggregation, modeling, and analysis to identify price improvement opportunities, including:
• Customer-specific sell-side pricing analysis and recommendations
• General price reviews and market trend analysis
• Industry, customer, and product segmentation research
• Manage, track, and update market and segment pricing to ensure competitive positioning.
• Act as a liaison between sales and operations teams, facilitating efficient communication and execution of pricing strategies.
• Develop, present, and maintain repeatable and ad-hoc reports, providing actionable insights to leadership.
• Grow as a subject matter expert with PGW processes and systems in support of sales and pricing.
• Document and refine work processes to enhance department efficiency and operational maturity.
• Support rebate administration, ensuring accurate tracking, processing, and reporting.
• Perform other duties as assigned.

Basic Qualifications

• 5+ years of relevant business experience.
• Bachelor’s Degree in Business, Finance, Economics, Engineering, IT, Computer Science, or a related field.
• Strong analytical skills with the ability to gather, join, and interpret multiple datasets.
• Advanced proficiency in Microsoft Excel for data manipulation and analysis.
• Experience with SQL for querying, joining, and manipulating datasets.
• Proven ability to prioritize tasks and manage multiple responsibilities effectively.
• Ability to work effectively in cross-functional teams and communicate insights clearly and collaboratively.
• Strong business judgment and creativity in problem-solving.

Additional Qualifications

• Experience with Tableau and Python are a plus.
• Familiarity with machine learning models for pricing optimization.
• Industry or general distributorship experience in pricing and revenue management.
• High standards for work product quality and attention to detail.
• Master’s Degree and/or experience in the automotive replacement glass market is preferred but not required.

This is a hybrid work environment. Team members are expected to work three days a week in the corporate office and two days a week in the home office. No sponsorship or relocation assistance is provided.