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Benchmarking Analyst

Job in Auburn, Lee County, Alabama, 36831, USA
Listing for: Stellantis
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Competitive Benchmarking Analyst

The Competitive Benchmarking Analyst owns structured, ongoing analysis of how Stellantis content compares to competitive offerings at equivalent price points — and quantifies the revenue impact of closing each gap. The empirical foundation for content repositioning recommendations.

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 and maintain the competitive content benchmarking database by trim and price band across CJDR core segments.
  • Produce the competitive feature gap analysis: identify which features are missing or mispriced at each Stellantis trim relative to the competitive set.
  • Quantify revenue impact by gap: rank gaps by estimated retail volume and revenue recovery if closed.
  • Track competitive content moves (new features, repackaging, pricing actions) and surface implications for Stellanti MY recommendations.
  • Support the Sr. Analyst's scenario modeling with competitive baselines.
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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