Data Analytics & AI Intern: Insights & Automation

ameriprise; Minneapolis (MN); Hybrid; USD 36,000 - 41,000; Full time

Benefits offered by this job

Vacation time

Sick time

401(k)

Health, dental and life insurance

Job summary

Ameriprise Financial in Minneapolis is seeking a Data Analytics & AI Intern to gain hands-on experience applying data and emerging technologies to real business challenges. You will transform data into actionable insights that help leaders make informed decisions.

Collaborating with analytics, operations and insurance teams, you will help create dashboards and visuals, explore AI-enabled process improvements, and present findings to stakeholders.

Qualifications

• Undergraduate student with expected graduation December 2027 or May/June 2028.
• Interest in data analytics, AI or related fields.
• Ability to communicate clearly with technical and nontechnical audiences.
• Proficient with Microsoft Office applications, including Excel and PowerPoint.

Responsibilities

• Review business and operational data to identify trends and opportunities.
• Help create or improve dashboards, reports, scorecards, or visuals.
• Collaborate with teams to learn how data supports decisions in analytics, operations, and leadership.
• Explore AI or automation to simplify recurring work or improve processes.
• Organize findings and translate data into clear, audience-friendly recommendations.
• Present project learnings or recommendations to stakeholders at internship end.

Skills

Data analytics

Communication

Problem solving

Microsoft Office

Education

Pursuing bachelor’s degree

Tools

Microsoft Excel

PowerPoint

Job description

Ameriprise Financial in Minneapolis is seeking a Data Analytics & AI Intern to gain hands-on experience applying data and emerging technologies to real business challenges. You will transform data into actionable insights that help leaders make informed decisions.

Collaborating with analytics, operations and insurance teams, you will help create dashboards and visuals, explore AI-enabled process improvements, and present findings to stakeholders.