Novaspace

Novaspace

Consultant Space Sector - Montreal

Montreal, Canada

Sponsorship not specifiedDetected 14 days ago
Data ScienceComputer VisionAccountingExcelResearchProblem SolvingPublic SpeakingWritingMicrosoft Office

About the role

  • Our consulting service lines span strategy, market development and innovation advisory.
  • As a privately owned and fully independent organization, Novaspace presents an expanded portfolio of services, featuring combined expertise in management and technology consulting, top-tier executive summits, and market intelligence.
  • Trusted by 1,200 clients in over 60 countries, Novaspace has offices strategically located in Brussels, Montreal, Munich, Paris, Singapore, Sydney, Tokyo, Toulouse, Washington D.C. and Bangalore.

Requirements

  • Are you a highly-motivated, technically-minded, critical thinker with 1- 3 years of experience in management consulting, looking for your next challenge?
  • Minimum requirement is Bachelor's degree in business administration, economics, data science, finance, or any related field

Nice to have

  • Ability to work independently and yet to work effectively and nicely in a team
  • Previous experience in consulting, strategy, and/or finance-related roles.
  • Good working knowledge of financial Excel models and accounting principles
  • Previous experience in creating impactful presentations and generating insights
  • Strong academic background.
  • is Bachelor's degree in business administration, economics, data science, finance, or any related field
  • Fully fluent in English
  • Canadian citizen or permanent residence/work permit

Benefits

  • Fast learner, flexible, organized, meticulous and detail-oriented

Company info

  • Our mission is to empower clients with strategic and technical insights, enabling them to navigate and seize new opportunities within the rapidly evolving space sector.

Visa & Work Authorization

  • Canadian citizen or permanent residence/work permit

This listing is sourced directly from Novaspace's careers page and normalized into a canonical job model.