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Content Value & Incentive Efficiency Analyst

Stellantis
Posted 2 days ago, valid for 8 days
Location

Auburn Hills, MI 48321, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Content Value & Incentive Efficiency Analyst at Stellantis focuses on quantifying the relationship between incentive spending and content value gaps.
  • This role requires a minimum of 3 years of experience in financial analysis, pricing strategy, or commercial analytics.
  • Key responsibilities include building incentive-to-content substitution models and quantifying incentive avoidance opportunities for proposed content changes.
  • Candidates must have strong financial modeling skills and the ability to communicate effectively with executive teams.
  • A Bachelor's Degree is required for this position, and automotive experience is preferred.

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.

 

 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.

 

Qualifications

REQUIRED QUALIFICATIONS 

 

 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.

 

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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