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Technical Analyst Intern information

What are some common challenges a technical analyst intern might face during their internship?

Technical Analyst Interns often encounter challenges such as adapting to new software tools and platforms quickly, balancing multiple projects with tight deadlines, and translating complex technical data into actionable insights for non-technical team members. They may also need to learn how to communicate effectively with cross-functional teams, including developers, project managers, and business stakeholders. However, these challenges present valuable learning opportunities and help interns develop critical analytical and problem-solving skills.

What is a technical analyst intern?

Technical Analyst Interns are entry-level professionals who support organizations by analyzing technical systems, processes, and data to help improve efficiency and solve technical problems. They often assist with gathering and interpreting data, troubleshooting software or hardware issues, and collaborating with IT or business teams to implement solutions. These interns gain hands-on experience with analytical tools and learn how to translate technical information for non-technical stakeholders. The position provides valuable exposure to both technical and business aspects of an organization, preparing interns for future roles in IT or data analysis.

What are the key skills and qualifications needed to thrive as a technical analyst intern, and why are they important?

To thrive as a Technical Analyst Intern, you should possess foundational knowledge in data analysis, programming, and problem-solving, often supported by coursework in computer science or information systems. Familiarity with tools such as SQL, Microsoft Excel, and data visualization platforms like Tableau or Power BI, as well as basic understanding of business intelligence systems, is valuable. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills are crucial for accurately interpreting data, supporting decision-making, and collaborating with technical and business teams.
What are the most commonly searched types of Technical Analyst jobs in Alabama? The most popular types of Technical Analyst jobs in Alabama are:
What cities in Alabama are hiring for Technical Analyst Intern jobs? Cities in Alabama with the most Technical Analyst Intern job openings:
Technical Analyst Intern jobs near you

AI & Business Automation Intern (Fall 2026)

Leonardo DRS

Huntsville, AL • On-site

$16.50 - $21.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Leonardo DRS rating

8.1

Company rating: 8.1 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

113th of 536 rated manufacturers

Job description

Job ID: 114524 

The Leonardo DRS Land Electronics business provides C4I Network computing and integrated situational awareness, as well as state-of-the-art embedded diagnostics, vehicle power management and combat vehicle integration products and services.

Role Details

Business Unit: Land Electronics 
Location:  Huntsville, AL
Career Functional Area: Engineering
Experience Level: Early Career Professional
Telework Type:  Onsite
Relocation Available:  N/A
Type:  Internship
Schedule:  10-15 hours per week
Shift:  1st

Job Summary

Leonardo DRS Land Electronics in Huntsville, AL is seeking a Fall 2026 AI & Business Automation Intern to help advance its internal AI and automation roadmap in a defense manufacturing environment. This is a hands-on learning role for an emerging technologist with foundational skills in scripting, data, or general IT who is eager to apply them to real business problems. You'll partner with the AI & Business Automation Lead and collaborate with IT, continuous improvement, and business stakeholders to build, test, and document AI-driven workflow automations used across engineering, program management, and operations - spanning rapid prototyping, agentic tool development, prompt engineering, Model Context Protocol (MCP) server configuration, vendor and tool evaluation, hands-on testing of pilot solutions, and creation of documentation and training materials that drive adoption. Ideal candidates are students in computer science, information systems, data analytics, engineering, or a related technical field with strong programming or scripting fundamentals and practical experience using modern LLM tools.

Job Responsibilities
  • Build & prototype - automation scripts, prompt workflows, and low-code/no-code solutions; proofs-of-concept for submitted use cases.
  • Agentic tools & Agent Skills - help build, configure, and refine agent skills and multi-step agent workflows; iterate on reliability and edge cases.
  • MCP servers - stand up, configure, and test Model Context Protocol servers that connect internal AI tools to business systems; evaluate community/vendor servers and contribute small in-house ones.
  • Prompt development - craft, test, and refine reusable prompts and templates for recurring business tasks.
  • Research, evaluation & testing - assess emerging AI tools and vendor solutions; execute test plans; validate AI outputs for accuracy and fitness for purpose.
  • Documentation & enablement - author user guides, wiki pages, and training content; document solution architectures, agent skills, and MCP configurations.
  • General support - triage and organize incoming idea submissions related to AI and automation.
Qualifications
  • Currently enrolled in an undergraduate or Master's program in computer science, information systems, data analytics, engineering, or a related technical field.
  • At least two years of academic experience with a GPA of 3.0 or higher.
  • Coursework or equivalent self-taught experience in CS, information systems, data analytics, or engineering; foundational programming or scripting ability in at least one modern language (e.g., Python, JavaScript/TypeScript, C/C++, or PowerShell); ability to pick up new languages and tools quickly.
  • Hands-on use of LLMs and AI assistants (ChatGPT, Claude, Copilot, Gemini); conceptual awareness of context windows, tokens, hallucinations, and grounding.
  • Exposure to agentic coding tools or AI agents (Cursor, Windsurf, Claude Code, Copilot agents); understanding of what makes a reusable "agent skill."
  • Awareness of the Model Context Protocol; bonus for any hands-on experience installing, configuring, or building an MCP server.
  • Comfort writing structured prompts and iterating on them; familiarity with common patterns (role prompting, few-shot, structured outputs).
  • Supporting tools: Git/GitHub/GitLab, VS Code, Microsoft 365, basic data fluency (CSV, JSON, SQL, or markdown); low-code platforms (Power Automate or n8n) a plus.
  • Strong written communication, curiosity, self-direction, and professional maturity to operate in a structured corporate environment.
  • Ability to support a 10-15 hours per week, onsite schedule.

Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours. 
*Some employees are eligible for limited benefits only

Leonardo DRS, Inc. and its subsidiaries provide equal opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. #LEL

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