Senior Pricing Analyst

Role Overview

• 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.

Tech Stack

• ERP
• Numpy
• Pandas
• Python
• Scikit-Learn
• SQL
• Tableau

Benefits

• N/A