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Remote Data Analytics Fall Internship Jobs in Toronto, ON

StarTech.com

Data Analyst

Toronto, ON · On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Teledyne

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

This role offers a unique opportunity to gain hands-on experience with advanced mapping, remote ... Analyze point cloud and image data using internal software tools and workflows. * Perform quality ...

Intercept

Director, Data & Technology

Toronto, ON · Remote

With a fully remote workplace, we provide our team the flexibility they need to thrive both at home ... The Data & Analytics pod produces the insights, data assets and context that inform our strategies ...

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All JobsData Analytics Fall JobsRemote Data Analytics Fall Internship JobsRemote Data Analytics Fall Internship Jobs in Toronto, ON

Remote Data Analytics Fall Internship information

What is a remote data analytics fall internship?

A Remote Data Analytics Fall Internship is a temporary, typically part-time position offered during the fall semester that allows students or recent graduates to work on data analytics projects from a remote location. Interns gain hands-on experience analyzing data, creating reports, and using analytical tools while collaborating with a team virtually. This internship helps individuals build valuable skills in data analysis, communication, and problem-solving, often serving as a pathway to full-time roles in data science or analytics.

What are the key skills and qualifications needed to thrive as a remote data analytics fall intern?

To thrive as a Remote Data Analytics Fall Intern, you need strong analytical abilities, proficiency in statistics, and foundational knowledge of data analysis, typically gained through coursework in data science, mathematics, or related fields. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is common, and basic certification in analytics or programming can be beneficial. Excellent communication, time management, and problem-solving skills help interns stand out, especially in a remote environment. These skills and qualities are crucial for effectively analyzing data, collaborating virtually, and delivering actionable insights to support business decisions.

What are some common challenges interns face during a remote data analytics fall internship, and how can they overcome them?

One common challenge is staying connected and communicating effectively with team members when working remotely. Interns may also find it difficult to access data or tools due to security protocols or lack of familiarity with remote platforms. To overcome these challenges, it's important to proactively schedule regular check-ins with your supervisor, ask for clear documentation, and leverage collaborative tools like Slack or Microsoft Teams. Building strong virtual relationships and being diligent about time management can also help ensure a productive and rewarding remote internship experience.

What is the difference between Remote Data Analytics Fall Internship vs Remote Data Analyst?

AspectRemote Data Analytics Fall InternshipRemote Data Analyst
CredentialsTypically pursuing or recent graduate in data-related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship program, often part-time or project-basedFull-time or part-time professional role
Employer UsageInternship programs in tech, finance, healthcare, etc.Established companies, startups, consulting firms
Search IntentLearning, gaining experience, entry-level opportunitiesPerforming data analysis, reporting, decision support

The Remote Data Analytics Fall Internship is an entry-level, temporary position designed for students or recent graduates to gain hands-on experience. In contrast, a Remote Data Analyst is a full-time professional role requiring more experience and responsibilities. Internships focus on learning and skill development, while data analyst roles involve ongoing analysis and decision-making support.

What job categories do people searching Remote Data Analytics Fall Internship jobs in Toronto, ON look for?

The top searched job categories for Remote Data Analytics Fall Internship jobs in Toronto, ON are:

Remote Data Analytics Fall Internship jobs near you
Infographic showing various Remote Data Analytics Fall Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 18% Internship, 37% Full Time, 29% Part Time, 8% Temporary, and 8% Contract. Highlights an 100% Remote job distribution.

Manager, Data Analytics - Canada

Toronto, ON • Remote

Zenni Optical
See more jobs at Zenni Opticalexternal

CA$300/day

Full-time

Medical, Dental, Vision, Life

Re-posted 16 days ago

Job description

About the Role:

Zenni is experiencing rapid growth in the affordable eyewear space, and data is at the core of our success. We are seeking a Manager, Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team.

In this leadership role, you will bridge the gap between complex data architecture and strategic marketing initiatives. You will be responsible for translating large datasets into clear, actionable insights, empowering our cross-functional teams to make confident, informed decisions. By building robust data solutions and fostering strong collaboration across departments, you will directly impact our operational efficiency and drive revenue growth. If you are a collaborative leader who excels at leveraging data to solve real-world business challenges, this could be the next move for you!  This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering.

Responsibilities:
  • Champion data literacy: Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
  • Drive cross-functional alignment: Act as the strategic bridge between the Data and Engagement Marketing teams, streamlining communication to boost operational efficiency and collaboration.
  • Power marketing platforms: Integrate enriched, highly trusted data with key business platforms (e.g.,Google, Tik Tok, Meta) to optimize ad delivery and AI performance.
  • Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
  • Define success metrics: Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
  • Shape the data roadmap: Lead the strategic planning for the data team, ensuring technical initiatives directly align with Zenni's overarching growth objectives.
  • Innovate continuously: Stay at the forefront of modern data engineering technologies and industry trends to evolve our strategy and keep our technical capabilities competitive.
Basic Qualifications:
  • Bachelor's degree in Computer Science, Machine Learning, Engineering, or a related technical discipline.
  • 8+ years of dedicated experience in the data area, coupled with at least 3 years navigating the fast-paced e-commerce landscape.
  • Deep business domain knowledge across key marketing functions, including but not limited to Performance Marketing, Lifecycle, and Brand Marketing.
  • Hands-on experience implementing marketing measurement methodologies, including Last-Touch, MTA, incrementality testing, MMM, and CVR measurement frameworks.
  • Extensive experience designing data architecture, performing complex data modeling, and building scalable ETL/ELT pipelines for centralized data warehouses.
  • Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a hands-on contributor.
  • Demonstrated success leading projects from start to finish, spanning requirement gathering, cross-functional stakeholder communication, architecture design, implementation, and QA.
  • Proactive leadership and cross-functional communication skills, with a proven ability to drive business impact.
Preferred Qualifications:
  • Hands-on expertise working within Databricks environments.
  • Proven track record of guiding and mentoring high-velocity data teams in a fast-paced setting.
  • Demonstrated success managing complex data integrations, advanced reporting, and platform optimization across diverse marketing channels.
  • An enthusiastic, proactive approach to tackling new technical challenges and driving continuous improvement.
Canada Perks & Benefits:
  • Annual bonus program
  • 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
  • Life, AD&D, and disability coverage (with optional add-ons)
  • Company-matched RRSP contributions up to 4%
  • Comprehensive wellbeing programs (mental, physical, emotional support)
  • Lifestyle Spending Account (wellbeing + learning)
  • Work-from-home stipend (for eligible roles)
  • Generous Flexible Time Off in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
  • Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
  • Family forming & fertility support and services through Maven
  • Annual Zenni Gift Card - to use towards our products

Compensation

In addition to other forms of compensation like perks and benefits, the estimated range for this role is CAD 163,000 - 185,000. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

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