Level UP Data Analysis Projects

Riipen Strategic Projects (1.0)
Ottawa, Ontario, Canada
Level UP Program Team
levelup@riipen.com
(1820)
Experience
66/60 project matches
Dates set by projects
Payment by employer C$1,400.00
Preferred companies
Anywhere
Any
Any industries
Categories
Data analysis
Skills
data analytics data visualization data science
Learner goals and capabilities

Undergraduate, graduate, continuing education, certificate, diploma, part-time and full-time students are all encouraged to apply.

The Level UP program (powered by Riipen) allows employers to bring on Canadian post-secondary students for 80-hour paid projects. Students are paid a $1400 CAD stipend on completion of the project by Riipen; employers are not required to provide payment. Read more about the program here.

Submit a project here for our Level UP coordinators to review. Once approved, students will apply to your project directly - individually, or in teams. Students may be from any Canadian post-secondary institution, and in any academic program. Get specific in your project description about the skills you're looking for in order to attract the most suitable applicants.

Learners
Undergraduate
Any level
218 learners
Project
80 hours per learner
Learners apply to projects
Expected outcomes and deliverables

While deliverables will vary depending on the project scope, at the conclusion of the project you should have a completed report or other assets that you can use to further your business goals. Maintaining communication with students throughout the project will lead to better results.

Project Examples

Projects should be approximately 80 hours in length, though our coordinators can work with you to resize the project as needed.

Suitable projects in the data analysis stream include:

  • Dashboard creation. Students can create dynamic dashboards representing your business KPIs using the software tools you use in-house or free software.
  • Trend analysis. Students will analyze a large data set provided by your company to find patterns, make forecasts, or identify trends depending on your needs.
  • Data cleaning. Students will take your existing data sources and transform them into data that can be used for analysis.

The above list are examples, and you are welcome to propose other projects in the area of data analysis.

Companies must answer the following questions to submit a match request to this experience:

Define the project scope up front to the best of your abilities, limiting scope changes once students are approved for the project.

Review student applications and accept or decline applications within 30 days. (Recommended 14 days)

Provide ongoing support and mentorship to students throughout the project.

Be available for a discussion with the Level UP coordinator to initiate your relationship and confirm your scope in an appropriate fit for the internship