The Market Intelligence Analyst Owns the market intelligence layer that tells the team where Stellantis is losing — by DMA, segment, price band, and configuration. Diagnoses why a nameplate or trim is underperforming and isolates whether the cause is product, pricing, allocation, or competitive activity.
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This role is responsible for assessing market/segment sales/price distribution, competitive content application, as well as internal content configuration mix and price positioning. The team evaluates current sales performance based on overall volume/share, days to sell, incentive spend/efficiency, gross and net margin contribution. They identify configurations to eliminate and/or create, to streamline dealer ordering and optimize stock with best-fit vehicles, proven to sell faster and make the right vehicle, at the right price available to more customers.
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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 DMA-level diagnostic: identify retail share leakage by nameplate, segment, and price band; isolate the structural drivers.
- Maintain price band and segment competitive analysis: track Stellantis position vs. competitive set and quantify volume/revenue exposure where Stellantis has no competitive offering.
- Build days-on-lot and inventory aging diagnostics by configuration; flag patterns that point to configuration-level rather than market-level issues.
- Provide market-level demand signals (pricing position, segment momentum, competitor moves) into the configuration profitability work.
- Produce monthly market intelligence reads for the Sr. Manager and Van Hoet.
- Provide diagnostic input into Incentive Optimization's pullback/invest market analysis.
 Basic Qualifications
- Bachelors Degree Required
- Minimum 3 years in market intelligence, competitive analysis, or commercial analytics.
- Experience working with syndicated automotive data sources (J.D. Power, S&P/IHS, Experian, Polk).
- Strong analytical and diagnostic problem-solving skills.
- Comfort working with large transaction and registration datasets.
- Strong written communication; ability to produce decision-ready market reads.
Preferred Qualifications
- Automotive industry experience; familiarity with DMA-level competitive dynamics.
- Familiarity with retail share, registration, and incentive data structures.
- Exposure to BI/visualization tools (Tableau, Power BI).
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