Stellantis logo
Stellantis
Posted 11 days agoVerified live 8h ago

North America Planning Student Program - Data Analytics

Brief overview

Remote
UndergradOr in progress
12 H-1B approvalsDept. of Labor
1 green cardsCertified filings
Microsoft Office SuiteMicrosoft ExcelSQLPythonData Analysis ToolPakPivotTablesMicrosoft PowerPointWritten and Oral Communication

About the company

Stellantis logo
Stellantisstellantis.com

Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
12H-1B approved
100%approval rate
6new H-1B hires
1PERM certified
$115,024median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20233
20246
20251
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20242
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20251
Top sponsored roles
Sr. Risk Analyst ISr. Data Scientist

Job description

Summary

Stellantis is an automotive company offering a year-round student program within its Portfolio Planning organization. The Data Analytics student will structure and transform data, build reports, and provide data and insights for special projects and studies that support strategic decisions.

Responsibilities

  • Structuring and transforming data; building reports; and providing data and insights for special projects and studies to drive strategic decisions

Skills

  • Currently pursuing a Bachelor's degree or higher in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field from an accredited college or university
  • Must have completed at least one year of undergraduate study at the time of hire
  • Proficient with Microsoft Office Suite applications
  • Able to work 24 hours per week, year-round
  • Willingness to relocate, if applicable
  • Strong interest in automotive industry
  • Demonstrated critical thinking and problem-solving skills
  • Strong written and oral communication skills
  • Good interpersonal skills
  • Ability to work in a team environment
  • Data analytics introductory classroom experience in:
  • Microsoft Excel (formulas, Pivot tables, Data Analysis Toolpak)
  • Basic programming in SQL and/or Python
  • Data tables and databases
  • Creative / resourceful information mining and fact seeking skills
  • Advanced analytical and PowerPoint presentation building skills
  • Previous automotive internships/experience

Qualifications

Must Haves

  • Currently pursuing a Bachelor's degree or higher in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field from an accredited college or university
  • Must have completed at least one year of undergraduate study at the time of hire
  • Proficient with Microsoft Office Suite applications
  • Able to work 24 hours per week, year-round
  • Willingness to relocate, if applicable

Nice to Haves

  • Strong interest in automotive industry
  • Demonstrated critical thinking and problem-solving skills
  • Strong written and oral communication skills
  • Good interpersonal skills
  • Ability to work in a team environment
  • Data analytics introductory classroom experience in:
  • Microsoft Excel (formulas, Pivot tables, Data Analysis Toolpak)
  • Basic programming in SQL and/or Python
  • Data tables and databases
  • Creative / resourceful information mining and fact seeking skills
  • Advanced analytical and PowerPoint presentation building skills
  • Previous automotive internships/experience

Benefits

  • Participants work remotely during the academic year (September through April) and onsite during the summer (May through August).
  • Relocation assistance may be available to students who meet specific eligibility requirements.
  • Exposure to cutting-edge projects and technologies
  • Collaborative work environment
  • Mentorship from experienced professionals
  • Networking opportunities with peers and leaders
  • Skill development workshops and training sessions
  • Paid US holidays
  • Stellantis Employee Advantage Vehicle Discount Program
  • Eligible students may be able to participate in the Company Vehicle Employee Lease Program

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