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.
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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.
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 Key Responsibilities
- 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.
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REQUIRED QUALIFICATIONSÂ
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 Basic Qualifications:
- 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.
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Preferred Qualifications:
- 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.
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