Automotive Content Value & Incentive Optimization Analyst

Stellantis; Auburn Hills (MI); On-site; USD 70,000 - 90,000; Full time

Job summary

Stellantis is looking for a Content Value & Incentive Efficiency Analyst based in Auburn Hills, Michigan. This role involves quantifying incentive spend and optimizing content strategies across teams.

The ideal candidate possesses a Bachelor's degree and a minimum of 3 years in financial analysis or commercial analytics. Strong financial modeling and communication skills are essential. Automotive experience is a plus.

The company values diversity and welcomes applications from all qualified individuals.

Qualifications

• 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.

Responsibilities

• Build the incentive-to-content substitution model.
• Quantify the incentive avoidance opportunity for proposed content changes.
• Build the round-trip content-incentive analysis with Incentive Optimization.
• Produce joint Content-Incentive recommendation inputs.
• Support investment reconciliation between Content Optimization and Incentive Optimization.

Skills

Financial analysis

Pricing strategy

Commercial analytics

Financial modeling

Executive presentation skills

Education

Bachelor's Degree

Job description

Stellantis is looking for a Content Value & Incentive Efficiency Analyst based in Auburn Hills, Michigan. This role involves quantifying incentive spend and optimizing content strategies across teams.

The ideal candidate possesses a Bachelor's degree and a minimum of 3 years in financial analysis or commercial analytics. Strong financial modeling and communication skills are essential. Automotive experience is a plus.

The company values diversity and welcomes applications from all qualified individuals.