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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

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Durham College
Durham College
Oshawa, Ontario, Canada
Camille Bacaksizlar
Co-op coordinator
3
Timeline
  • September 4, 2024
    Experience start
  • December 14, 2024
    Experience end
Experience
15 projects wanted
Dates set by experience
Payment by employer C$16.55 / hour
Preferred companies
Canada
Any company type
Any industries

Experience scope

Categories
Information technology Databases Data visualization Data analysis Data modelling
Skills
artificial intelligence
Learner 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.


Learners

Learners
Post-graduate
Beginner, Intermediate, Advanced levels
15 learners
Project
420 hours per learner
Educators assign learners 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
    Experience start
  • December 14, 2024
    Experience end

Project Examples

Requirements

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 company criteria

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

Are you willing to pay the student at least $16.55 per hour for a minimum of 420 hours?