Logo of Huzzle


Revenue Analyst (Co-op Student)

Logo of Lumentum


14d ago

🚀 Off-cycle Internship


AI generated summary

  • You must be a registered post-secondary student with a strong desire to learn and grow. Technical, engineering, or business background is preferred, with skills in data analysis and Tableau.
  • You will learn about sales and operations planning, forecasting, communication, time management, and data analysis while working closely with various teams to support revenue analysis.

Off-cycle Internship



  • This opportunity is within Business Operations in the revenue team. This is a critical group within the Cloud and Networking platform that works with a variety of teams to support our long-term planning and short term execution. The position is hybrid (meaning you can work remotely for a portion but there will be some one site work required) and located in Ottawa, Ontario. We’re looking for a commitment of 12 months or more with the role starting in September 2024.


  • To be considered, you MUST be registered full-time or part time, in a recognized post-secondary institution
  • We want an engaged individual who is keen to learn and develop
  • Working towards a technical, engineering or business degree is an asset
  • Previous experience with data analysis, visualization, Tableau is an asset

Education requirements

Currently Studying

Area of Responsibilities



  • What you will learn in this role:
  • How a business is run:
  • Sales and Operations Execution (S&OE)
  • Sales and Operations Planning (S&OP)
  • Annual Operations Plan (AOP)
  • Forecasting:
  • Communication and building relationships
  • Professional email writing
  • How to make a good presentation
  • How to tailor communication to your audience
  • Presenting work and updates to management teams
  • Working closely with Demand Managers (DMs), Product Line Managers (PLMs), Finance, Sales
  • Time management:
  • There’s always more work than can be done. We’ll help you develop your skills to manage and prioritize the workload within your hours.
  • Data Analysis:
  • You will learn different data systems and how to use them
  • You will learn how to pull data, analyze it, draw conclusions and communicate the results


Work type

Full time

Work mode