Data Analytics Student Program: Remote Year + Summer Onsite

stellantisexternalcx; Michigan; Hybrid; USD 2,066,000 - 3,031,000; Part time

Benefits offered by this job

Exposure to cutting-edge projects and 

Collaborative work environment

Mentorship from experienced pros

Networking opportunities with peers

Job summary

Stellantis is seeking students for a Portfolio Planning Data Analytics internship that blends remote work during the academic year with an onsite summer placement at the Auburn Hills, Michigan campus. The role focuses on structuring and transforming data, building reports, and delivering insights for strategic studies, with a quarterly start and relocation assistance if eligible.

Assignments are project-oriented within Portfolio Planning’s Data Analytics team and aim to drive business decisions

Qualifications

• Pursuing a Bachelor's degree or higher in a quantitative field.
• Must have completed at least one year of undergraduate study.
• Proficient with Microsoft Office Suite applications.
• Able to work 24 hours per week year-round.
• Willingness to relocate, if applicable.

Responsibilities

• Structure and transform data to support analyses.
• Build reports and dashboards for stakeholders.
• Provide data insights for special projects and strategic decisions.

Skills

Critical thinking

Problem solving

Communication

Teamwork

Data analytics basics

Education

Bachelor's degree or higher in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics

Completed at least one year of undergraduate study

Tools

Excel

Pivot tables

Data Analysis Toolpak

SQL

Python

PowerPoint

Job description

Stellantis is seeking students for a Portfolio Planning Data Analytics internship that blends remote work during the academic year with an onsite summer placement at the Auburn Hills, Michigan campus. The role focuses on structuring and transforming data, building reports, and delivering insights for strategic studies, with a quarterly start and relocation assistance if eligible.

Assignments are project-oriented within Portfolio Planning’s Data Analytics team and aim to drive business decisions