Commercial Analyst - Structures
Presov, SK, 08001 Pilsen, Central Bohemian Region, CZ
Driving the future of automotive. We’re Lear For You.
Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear’s diverse team of talented employees in 38 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world. Further information
You support the Commercial team by delivering accurate pricing, margin analysis, and customer-facing commercial data across multiple Structures programs. Working closely with the Senior Account Manager, you help turn complex data into insights that enable proactive, informed business decisions. This role is based in Prešov, Slovakia, with limited travel.
Your Responsibilities:
- Support customer and sales activities by preparing quotations, managing purchase order changes, and responding to commercial requests accurately and on time
- Build, maintain, and update cost, price, and inflation trackers using data from multiple sources, including raw materials, direct labor, and utilities
- Monitor purchase orders, invoices, and payments, and report variances or risks to the Senior Account Manager
- Perform margin, pricing, variance, and scenario analyses to support volume changes, cost evolution, and customer negotiations
- Analyze commercial data within the change management system and propose process improvements to improve data quality and workflow efficiency
Your Qualifications:
- Strong analytical and commercial skills, with the ability to collect, structure, analyze, and present large volumes of data accurately
- Advanced Microsoft Excel skills, including complex formulas, pivot tables, and basic data automation
- Customer-facing experience with strong organization and prioritization skills in a fast-paced environment
- Bachelor’s degree in Data Science, Business Management, Engineering, Mathematics, Economics, Computer Science, Statistics, or equivalent experience
- Fluent English communication skills at C2 level, with the ability to explain data-driven insights clearly