AI-Driven Product & Business Development Internship

Optum

Eden Prairie (MN)

Hybrid

USD 25,000 - 44,000

Full time

14 days+

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Job summary

Optum is offering a 10‑week, full‑time summer internship through the Product & Business Development Program (PBDP) in Eden Prairie, MN and San Antonio, TX. Work 4–5 days per week in office, with placement aligned to team opportunities in business analysis, product support, and process improvement.

You will tackle real projects, develop skills in data-informed decision making, and apply AI tools to drive efficiency.

Qualifications

  • Pursuing or holding a Bachelor’s degree in Business, Analytics, Healthcare Administration, Information Systems or related field.
  • Hands-on experience in business analysis, reporting, or performance tracking.
  • Experience with project coordination, process improvement, or workflow optimization.
  • Ability to build basic reports, trackers, or summaries from data.
  • Proficiency in Excel, including pivot tables and lookups.

Responsibilities

  • Contribute to real business initiatives through research, analysis, and execution.
  • Support teams by organizing workstreams, tracking progress, and completing deliverables.
  • Analyze processes and identify opportunities for improvement.
  • Create reports, summaries, and presentations to communicate insights clearly.
  • Collaborate with cross‑functional teams (operations, product, analytics, technology).
  • Build foundational documentation and problem‑solving skills.

Skills

Business analysis
Project coordination
Process improvement
Data analysis
Excel
Dashboarding

Education

Bachelor’s degree

Tools

SQL
Tableau
Power BI
Jira

Job description

Optum is offering a 10‑week, full‑time summer internship through the Product & Business Development Program (PBDP) in Eden Prairie, MN and San Antonio, TX. Work 4–5 days per week in office, with placement aligned to team opportunities in business analysis, product support, and process improvement.

You will tackle real projects, develop skills in data-informed decision making, and apply AI tools to drive efficiency.

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