ZipRecruiter

Log In

1

Student Shadow Data Analytics Jobs in Toronto, ON

PartnerRE Ltd.

Business Data Analyst Student

Toronto, ON ยท Hybrid

CA$40K - CA$50K/yr

The Business Data Analyst will be responsible for either processing business in PartnerRe systems or working on NAL Operations and Administration projects. Key Responsibilities Your internal ...

PCL Construction

Business Development Student

Oakville, ON ยท On-site

CA$19.57 - CA$28.69/hr

As a student at PCL, you will get the opportunity for challenging work assignments in a supportive ... Passionate about learning various data analytic tools such as Sales Force while also providing ...

University of Toronto

Data Specialist

Scarborough, ON ยท On-site

... students, postdoctoral scholars, pedagogical researchers, and other institutional stakeholders * Minimum two years' experience extracting, cleaning, validating, and analyzing data using advanced ...

next page

Showing results 1-20

All JobsStudent Shadow Data Analytics JobsStudent Shadow Data Analytics Jobs in Toronto, ON

Student Shadow Data Analytics information

What is a student shadow data analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a student shadow in data analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What are the key skills and qualifications needed to thrive as a student shadow in data analytics, and why are they important?

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

How to become a student shadow data analyst with no experience free?

To become a student shadow data analyst with no experience, start by learning basic data analysis skills using free online resources such as tutorials on Excel, SQL, and Python. Seek opportunities to observe professionals through internships, volunteering, or mentorship programs, and build a portfolio of simple projects to demonstrate your skills. Gaining familiarity with data visualization tools like Tableau or Power BI can also enhance your prospects.

What are popular job titles related to Student Shadow Data Analytics jobs in Toronto, ON?

For Student Shadow Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Student Shadow Data Analytics jobs in Toronto, ON look for?

The top searched job categories for Student Shadow Data Analytics jobs in Toronto, ON are:

Student Shadow Data Analytics jobs near you

Instructor - Data Analytics

Primacorp Ventures, Inc.

Brampton, ON

CA$28/hr

Part-time

Re-posted 12 days ago

Job description

About us

CDI College is Canada's largest private college network with over 50 years of educational excellence with 23 campuses in British Columbia, Alberta, Ontario, Quebec and Manitoba. Our innovation and dynamism shine through a range of forward-thinking programs. We are a leading Canadian career training institution, dedicated to quality education and student success. Established in 1970, we offer over 50 diploma and certifications programs across various disciplines such as business,ย healthcare, technology, and art and design.

Job Status: Part-time, Remote (Weekend Availability Required)
Start Date: ASAP
Working Hours: Ongoing, Part-time
Compensation: $28/hour
Campus: CDI College - Brampton

Position Summary
The Data Analytics Instructor is responsible for delivering high-quality instruction and supporting student success in alignment with the program curriculum. This role focuses on engaging teaching, practical application of data analytics concepts, and fostering an inclusive learning environment.

Key Responsibilities

  • Deliver lectures, workshops, and hands-on training for the Data Analytics program.
  • Develop and implement lesson plans aligned with curriculum objectives.
  • Provide timely feedback on assignments and projects to support student progress.
  • Maintain accurate records of attendance and academic performance.
  • Contribute to curriculum enhancement and continuous improvement initiatives.
  • Collaborate with faculty to ensure consistent and high-quality program delivery.
  • Support student achievement, employability, and overall well-being.

Qualifications

Education & Experience

  • Degree in Data Analytics, Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Minimum 2 years of industry experience in data analytics or a related field.
  • Minimum 2 years of teaching experience at the post-secondary level (preferred).

Skills & Competencies

  • Strong ability to teach and apply data analytics concepts through real-world projects.
  • Excellent communication and presentation skills.
  • Effective problem-solving and organizational abilities.
  • Collaborative approach with a focus on student engagement and success.
  • Familiarity with Learning Management Systems (LMS).

Technical Knowledge

  • Proficiency in Python and data analysis libraries.
  • Working knowledge of big data tools and technologies (e.g., Spark, Hadoop, Tableau, R, NoSQL).
  • Understanding of data analytics fundamentals and methodologies (e.g., Agile, Lean).
  • Basic knowledge of artificial intelligence concepts.

Don't hold back!-apply today, even if you do not tick every skills list. We cherish diverse skill sets, knowing your unique experiences and perspectives enrich our dynamic team.
We are proudly Canadian - rooted in our diverse communities, guided by our values, and committed to growing together from coast to coast.

Apply