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Fastlane Program Analyst Intern

2 weeks ago

Toronto, Canada Vector Institute Full time

POSITION DESCRIPTION
FastLane Program Analyst Intern
POSITION OVERVIEW
Reporting to the Director, Startups and Scaleups, the FastLane Program Analyst Intern will support the research and implementation of Vector's FastLane and programming targeting startups, scaleups, and VC & other ecosystem partners.
**Start date**: May 5, 2025
**End date**: August 29, 2025
APPLIED INTERNSHIPS AT VECTOR
KEY RESPONSIBILITIES
Conducting primary and secondary business research (i.e., researching a particular Canadian technology company, or researching an industry vertical or economic sector);
Supporting members of the Vector SME programming with program implementation;
Identification and coordination of relevant resource needs across work streams;
Supporting product development within FastLane team (research, ideation, wireframes);
Creating reports, decks, and excel models to support FastLane team;
Other duties as assigned.
PROFILE OF THE IDEAL CANDIDATE
You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage - First Nations (status or non-status), Métis or Inuit) or a recent graduate.
You are in second year or higher, studying at a Canadian university or college, or a recent graduate within one semester of graduation.
Experience conducting business research.
Ability to format and create visually compelling and professional strategy and planning documents.
Proficiency with Microsoft Office (including Excel), and/or Google Suite.
Proficiency with analytical software is an asset.
Proficiency with wireframing software is an asset.
You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture.
NICE TO HAVE
Deep interest and understanding of Canada's innovation ecosystem and knowledge economy.
You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.
**Compensation**: $25/hour.