Competitive Analysis Research Intern – Competitive Analysis

Job Description

Intern, Competitive Analysis Research | Per Scholas

The Tone:
This is an internship at Per Scholas, located remotely. Per Scholas has spent 30 years driving mobility and opportunity in the technology landscape by unlocking individual potential and meeting employer needs through rigorous tech training. This role is crucial for supporting strategic growth and market intelligence projects, enabling Per Scholas to analyze its competitive edge and the market relevance of its training programs in the non-traditional educational and workforce development sectors.

The TL;DR
• Role: Internship
• Type: Part-time
• Location: Remote
• Mission: This person will analyze Per Scholas’s competitive position and the market relevance of its training programs in the non-traditional educational and workforce development sectors.
• Tech Stack: AI-powered secondary research, AI prompting techniques

What You’ll Actually Do
• Market Research: Analyze the competitive landscape for infrastructure talent development within specific industries and geographic areas.
• Positioning Strategy: Recommend how Per Scholas should position its training offerings to remain competitive for both learners and employers.
• Pricing Evaluation: Research and compare pricing models for earned revenue products to analyze Per Scholas’s value proposition against market alternatives.
• Competitor Intelligence: Gather intelligence on competitor enrollment processes, pricing, and curriculum delivery using AI-powered desktop and primary research, including “secret shopping.”
• Strategic Insights: Synthesize research findings using strong analytical skills and AI prompting to drive strategic organizational decisions.

The Must-Haves
• Background: Current undergraduate student with a strong interest in research, market analysis, or business strategy; alternative backgrounds are eligible if required skills have been obtained without a degree.
• Experience: Proficiency in research methodologies and data analysis, with an interest in gaining hands-on experience with competitive landscape mapping, labor market-driven training trends, and product positioning.
• Skills: Excellent written and verbal communication, strong organizational skills and meticulous attention to detail, self-motivation, ability to work independently, ability to utilize AI prompting to enhance research efficiency and synthesis, a strong bias toward learning and inquiry with an ability to identify the “so what?” in complex data.
• Bonus: Excitement to learn about and contribute to the field of workforce development.