University of Toronto Faculty of Arts and Sciences - The Sandbox
University of Toronto Faculty of Arts and Sciences - The Sandbox
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Data Analytics Students for Hire - PAID at least $16.55 - 4 Month Term - Sep to Dec for at least 420 hours

Paid
Closed
Main contact
Durham College
Durham College
Oshawa, Ontario, Canada
Camille Bacaksizlar
Co-op coordinator
3
Timeline
  • September 4, 2024
    Sandbox start
  • December 14, 2024
    Sandbox end
Sandbox
15 projects wanted
Dates set by sandbox
C$6,951.00
Partner pays 100%

Hourly pay is C$16.55/hr for 420 hrs per student.

Preferred partners
Canada
Any partner type
Any industries

Sandbox scope

Categories
Information technology Databases Data visualization Data analysis Data modelling
Skills
artificial intelligence
Student goals and capabilities

Experiential learning is an integral part of the Durham College Data Analytics program. During the work term, students are employed with work employers that pay at least minimum wage. Students offer a wide set of skills at an affordable cost to a variety of employers.


Students are available for 420 hours from September 2024 to December 2024. The earliest start date is September 3, 2024.


Contact camille.bacaksizlar@durhamcollege.ca to get started or message me here on the Riipen platform.


Students

Students
Post-graduate
Beginner, Intermediate, Advanced levels
15 students
Project
420 hours per student
Students apply to projects
Individual projects
Expected outcomes and deliverables

Student deliverables are based on the needs of the employer. Employers can have multiple students work as part of the placement.


Compensation of at least the provincial wage is required for students.

Students can work anywhere in Canada for at least 30 hours per week.

They can work 5 days on site, and can take on hybrid roles or 100% remote jobs.

Project timeline
  • September 4, 2024
    Sandbox start
  • December 14, 2024
    Sandbox end

Project examples

Students can work on a variety of projects that require these skills:


  1. Analyze, organize, and manipulate data to support problem-solving, business decision-making, and opportunity identification.
  2. Develop statistical and predictive models that use operational and marketing data to identify patterns and provide insights to business stakeholders.
  3. Assess and apply business intelligence and Big Data tools appropriate to business decisions, business problems, data movement, and system workloads.
  4. Prepare and communicate complex materials verbally, in writing, and digitally for a variety of audiences, purposes, and levels of detail.
  5. Analyse and interpret data as it relates to various aspects of a business organization’s readiness to change.
  6. Conduct data analysis and research in a respectful and ethical manner that protects privacy and maintains dignity to all involved.
  7. Deliver data oriented projects using data science, business analysis, and project management principles, tools, and techniques to ensure clients’ business needs are achieved.


Additional partner criteria

Partners must answer the following questions to submit a match request to this sandbox:

  • Q1 - Text short
    Are you willing to pay the student at least $16.55 per hour for a minimum of 420 hours?  *