Content Value & Efficiency Analyst

The Content Value & Incentive Efficiency Analyst quantifies how much of Stellantis's current incentive spend is structural compensation for a content-value gap — and calculates exactly how much of that spend becomes eliminable when specific content changes are made. The analytical link between Content Optimization and Incentive Optimization.

This role will be a primary user of the analytical framework assessing content application, competitive benchmarking, market intelligence and dealer ordering. They will inform recommendations for Brand Operations, Product Planning, Dealer Network and Brand Finance.

• Build the incentive-to-content substitution model: estimate, by configuration and trim, how much incentive spend is structurally compensating for a content gap vs. driving incremental volume.
• Quantify the incentive avoidance opportunity: for each proposed content change, estimate the incentive spend that becomes eliminable at equal volume.
• Build the round-trip content-incentive analysis with Incentive Optimization: estimate how content improvements in high-volume markets reduce the incentive requirement in the deployment model.
• Produce the joint Content–Incentive recommendation inputs to support total content optimization strategy.
• Support the investment reconciliation between Content Optimization and Incentive Optimization.

• Bachelor's Degree Required
• Minimum 3 years in financial analysis, pricing strategy, or commercial analytics.
• Strong financial modeling skills; experience building multi-lever trade-off frameworks.
• Experience working across multiple initiative teams with shared analytical deliverables.
• Strong written communication and executive presentation skills.

• Automotive experience; familiarity with incentive program structures and pricing economics.
• Experience with joint pricing-content optimization or revenue management.
• Familiarity with OEM commercial planning processes.