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Data Analytics Manager, Portfolio Planning in Auburn Hills, Michigan

Job in Auburn Hills, Oakland County, Michigan, 48326, USA
Listing for: Stellantis
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Data Analytics Manager, Portfolio Planning          at Stellantis        in        Auburn Hills,        Michigan

Job Title

We are seeking a passionate automotive industry enthusiast to lead a team of data scientists & analysts responsible for providing insights and analytics for the Portfolio Planning organization with an understanding for the implications to the Stellantis business.

Responsibilities include:

  • Analyzing industry forecasts, segment growth trends, and economic indicators that influence the automotive industry.
  • Participating in scenario planning initiatives, understanding changing consumer behavior to determine potential implications &/or recommendations for Stellantis.
  • Providing support to monthly and annual governance discussions (product, commercial and industrial)
  • Publishing quarterly analysis of industry sales results mix/trend reports and other relevant reports for extended Stellantis
  • Departmental budgeting and management of licenses and relationships with vendors.

Candidate will participate in new product studies providing industry context, competitive analysis and customer insights for products as they advance through program approval gates. Candidate will work with local team(s), as well as those in other regions and centralized global functions.

Our Benefits - Designed with You in Mind

Comprehensive Health & Well-being Coverage

From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don't contribute

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.

Basic Qualifications:

  • Bachelor's degree in Business Administration, Mathematics, Finance, Computer Science or related field
  • A minimum of 5 years of automotive analysis experience
  • A minimum of 10 years relevant work experience including a supervisory role
  • Training or experience in advance data analysis techniques
  • Strong analytical skills with an ability to take data and provide contextual meaning to findings
  • Identification of patterns, develop insights and implications and deliver data-driven alternatives
  • Ability to meet aggressive deadlines and produce executive-ready deliverables
  • Excellent written and oral communication skills

Preferred Qualifications:

  • MBA preferred
  • Possess above average PowerPoint and Excel skills
  • Familiarity with Power BI, Access databases
  • Familiarity with SQL or R
  • Familiarity with Palantir
  • Familiarity with Economic Data and Tracking
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