Limitless potential.

Company Background

Established in 1928, Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 63,000 teammates. Learn more at genpt.com

Position Purpose:

We are seeking a highly analytical and commercially minded Senior Pricing Analyst to drive pricing strategy and profitability across our automotive aftermarket product portfolio. This role combines advanced analytics, Python-based modelling, and cross-functional collaboration to optimize pricing across thousands of SKUs, multiple customer segments, and sales channels in the AAG EU countries. You will work closely with the local pricing leadership, IT and consultancy partners to support and inform the execution of the pricing strategies across AAG Europe.

Responsibilities:

Pricing Strategy & Optimization

• Support the local pricing leadership in development and implementation of pricing strategies across a large catalog of automotive parts and accessories
• Identify opportunities to optimize pricing structures for multiple customer segments (wholesale, garages, retailers, key accounts)
• Work with local pricing teams in the design and monitoring of discount structures, rebates, and promotional pricing
• Support key account pricing and contract negotiations with data-driven insights

Market & Competitive Intelligence

• Support the EU countries in monitoring competitor pricing and market trends across the automotive aftermarket landscape
• Collaborate in the benchmarking of pricing across brands, categories, and regions
• Leverage data tools (including Python-based scraping where applicable) to enhance market visibility

Advanced Analytics & Modeling

• Analyze large datasets to identify pricing opportunities, risks, and trends
• Build demand forecasts incorporating seasonality, vehicle parc data, and market dynamics
• Perform price elasticity and substitution analysis (e.g., OEM vs. aftermarket alternatives)
• Conduct scenario modeling to support strategic decision-making and present to local pricing leadership
• Analyze customer-level profitability, including discounts, logistics, and returns

Python & Data Automation

• Develop and maintain pricing models and optimization tools using Python (pandas, NumPy, scikit-learn)
• Support the Data Engineer in building data pipelines integrating ERP systems (e.g., SAP), SQL databases, and external data sources
• Enhance pricing processes through scalable, automated solutions for the local pricing teams

Reporting & Insights

• Develop and optimize existing dashboards and reports to help Pricing teams track performance and profitability
• Monitor KPIs such as margin by SKU/category, price realization, and promotion effectiveness across the EU countries
• Translate complex analyses into clear, actionable recommendations for stakeholders and present them to local pricing leadership

Requirements:

• Bachelors or masters degree in finance, Economics, Data Science, Engineering, or related field
• 5+ years of experience in pricing, revenue management, or advanced analytics (preferably in distribution, automotive, or retail)
• Strong Python skills (pandas, NumPy, scikit-learn) + Experience with SQL
• Experience with BI tools (e.g., Tableau, Power BI)
• Solid understanding of pricing strategies, elasticity, and margin optimization
• Experience working with large, complex datasets
• Strong problem-solving and analytical skills
• Ability to work independently, manage small engagements or parts of large engagements
• Team player helping to build a continuous improvement culture

Nice to have:

• Experience in automotive aftermarket or multi-SKU distribution environments
• Familiarity with ERP systems (e.g., SAP)
• Knowledge of dynamic pricing or algorithmic pricing approaches
• Strong business acumen and stakeholder management skills

Location: Krakow (2 days from Office)

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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.