Competitive Analysis Research Intern

Job Description

Competitive Analysis Research Intern | Per Scholas

The Tone:
This is an unpaid, part-time internship at Per Scholas, located remotely. Per Scholas is a 30-year-old organization dedicated to driving mobility and opportunity in the tech landscape by providing rigorous, no-cost tech training to individuals, uplifting communities, and meeting employer needs. This internship supports strategic growth and market intelligence projects, offering an ideal opportunity for gaining hands-on experience with competitive landscape mapping and product positioning within the non-traditional educational and workforce development sectors. The intern will play a key role in analyzing Per Scholas’s competitive edge and evaluating the market relevance of its earned revenue products.

The TL;DR
• Role: Internship
• Type: Part-time
• Location: Remote
• Mission: To support strategic growth and market intelligence by analyzing Per Scholas’s competitive edge and the market relevance of its earned revenue products.
• Tech Stack: AI-powered secondary research, AI prompting techniques

What You’ll Actually Do
• Research: Conduct deep-dive analysis into the competitive landscape for infrastructure talent development within specific industries and geographic areas.
• Position: Provide recommendations on how Per Scholas should position its training offerings to remain competitive against alternative providers.
• Analyze: Research and compare pricing models for earned revenue products, analyzing Per Scholas’s value proposition against market alternatives.
• Gather: Utilize AI-powered secondary and primary research methods, including “secret shopping,” to gather intelligence on competitor enrollment processes, pricing, and curriculum delivery.
• Synthesize: Apply analytical skills and AI prompting techniques to synthesize findings into “so what?” insights that drive strategic organizational decisions.

The Must-Haves
• Background: Current undergraduate student with a strong interest in research, market analysis, or business strategy; alternative backgrounds eligible if required skills are obtained without a degree.
• Experience: Proficiency in research methodologies and data analysis.
• Skills: Excellent written and verbal communication; Strong organizational skills and meticulous attention to detail; Ability to utilize AI prompting to enhance research efficiency and synthesis.
• Bonus: A strong bias toward learning and inquiry, with an ability to identify the “so what?” in complex data; excitement to learn about and contribute to the field of workforce development.