Operations - Technical Support Intern- Summer 2026
Stifel10 months ago
St. Louis, MO, United States
Hybrid
Internship
Junior Level (1-3 years)
Job Description
Position Overview
Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole. In the role of Operations - Technical Support Intern, you will assist the team in designing, developing, and maintaining solutions that streamline operational workflows.
Key Responsibilities
- Assist in designing, developing, and maintaining solutions using Microsoft Power Platform tools (Power Automate, Power Apps, Power BI) to streamline operational workflows.
- Support data analysis, tool creation, and dashboard updates for Operations teams.
- Assist with troubleshooting and enhancing existing Power Platform applications and automations.
- Collaborate with Tech Support team members to gather requirements and translate them into functional, user‑friendly tools.
- Document processes, updates, and technical solutions to support knowledge transfer.
Required Qualifications
- Familiarity with Microsoft Power Platform tools — Power Apps, Power Automate, and Power BI.
- Strong analytical and problem‑solving skills.
- Interest in automation, process improvement, and financial operations.
- Ability to work independently and in a collaborative team environment.
- Currently pursuing a degree in Data Science, Finance, Economics, or a related field.
- Efficient with Microsoft Excel, Word, and Outlook.
- Exposure to Microsoft Power Platform tools.
Preferred Qualifications
- May 2026 grad
Benefits & Perks
- Comprehensive benefits package
- Health, Dental & Vision Care
- 401k
- Wellness Initiatives
- Life Insurance
- Paid Time Off
Required Skills
Microsoft Power Automate
Microsoft Excel
Microsoft Power Apps
Analytical Skills
Microsoft Word
Microsoft Power BI
Microsoft Power Platform
Process Improvement
Troubleshooting
Microsoft Outlook
Data Analysis