Senior Pricing Analyst

• 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
• 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
• 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
• 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
• 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

• 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

• 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

We offer comprehensive benefit plans and programs designed to support your health and wellness, provide income protection and build financial security for your retirement