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Intern Python Data Analyst Jobs in Toronto, ON (NOW HIRING)

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with ... Advanced SQL and strong Python skills. * Experience with data modeling and ELT/ETL tools (e.g., dbt ...

Stripe

PhD Data Scientist, Intern

Toronto, ON

We're looking for data scientists with a passion for analyzing data, building machine learning and ... Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new ...

Gtsgbu

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

Data and Business Intelligence Analyst, Intern Rail Pass Type: Internship/Co-op (Full-time/Hybrid ... Build and maintain robust semantic models for both BI and AI applications using Python, SQL, Power ...

Omers

Data Operations Analyst (Contract)

Toronto, ON · On-site

CA$72K - CA$108K/yr

As a Data Operations Analyst, Investment Data Operations, you will help deliver accurate, timely ... SQL, Python, Power BI, and workflow tools such as Azure DevOps are assets. This posting is for an ...

Interac Corp.

AI Product Delivery Intern

Toronto, ON · Hybrid

CA$23 - CA$25/hr

An intern in the Data Strategy and Delivery team would have a dynamic and engaging role ... Proficiency in SQL and Python for data manipulation and analysis * Strong collaborative skills to ...

Scotiabank

Data Platform Operations Analyst

Toronto, ON · On-site

... Python or SQL * Able to implement & enhance various dashboards through data visualization tool(s) such as Tableau or PowerBI * Strong communication skills (i.e.: spoken/written/presentation) to ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Toronto, ON

Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst, and why are they important?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What are the most commonly searched types of Python Data Analyst jobs in Toronto, ON? The most popular types of Python Data Analyst jobs in Toronto, ON are:
Intern Python Data Analyst jobs near you

Senior Data Analyst (m/f/d)

AutoTrader.ca

Toronto, ON • On-site, Remote

CA$110K - CA$140K/yr

Other

Retirement

Posted 22 days ago

Job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.  

Learn more at tradercorporation.com.  

As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond.  

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with Product, Engineering, Commercial, and Leadership teams to drive seller product performance through data. Your focus will include seller health, inventory, listings, packages, engagement, conversion, and retention. 

What You'll Do 

  • Partner with Product teams to define KPIs, measurement strategies, and roadmap priorities. 
  • Build and maintain trusted data models, ELT pipelines, and self-service datasets. 
  • Analyze seller onboarding, inventory, listing quality, engagement, package adoption, and lead performance.  
  • Identify opportunities to improve product usage, marketplace quality, and business outcomes.  
  • Support experimentation and impact measurement for product and AI-driven features. 
  • Deliver dashboards, automated reporting, and actionable insights.  
  • Use AI-assisted tools to improve analytics workflows, automation, and reporting.  
  • Build analytics agents and self-service solutions that help teams access metrics and trusted insights.  
  • Mentor more junior analysts and promote data-driven decision-making.  

What You'll Bring 

  • 7+ years of experience in Product Analytics, Data Analytics, or Applied Data Science. 
  • Advanced SQL and strong Python skills.  
  • Experience with data modeling and ELT/ETL tools (e.g., dbt, Airflow, Databricks). 
  • Strong knowledge of statistics, experimentation, causal inference, and KPI design.  
  • Experience partnering with Data Science and ML teams.  
  • Hands-on experience with AI tools for analytics, automation, and workflow improvement.  
  • Strong data visualization and storytelling skills (e.g., Tableau, QuickSight, Amplitude). 
  • Experience with modern data platforms such as BigQuery, Snowflake, Redshift, Athena, or Databricks. 
  • Ability to translate complex analysis into clear business recommendations.  
  • Excellent English communication skills.  

Nice to have 

  • Experience in marketplaces, classifieds, automotive, or subscription-based businesses. 
  • Knowledge of seller lifecycle, inventory performance, listing quality, and marketplace metrics.  
  • Familiarity with LLMs, RAG, analytics agents, semantic layers, and metrics stores.  
  • Experience with forecasting, anomaly detection, recommendation systems, or pricing optimization.  
  • Understanding of web/app tracking, event taxonomy, and analytics QA. 

What's in it for you 

We understand that there is life at work and life outside of work. Here are a few benefits that support us to be our creative best.   

  • Gym discounts
  • Employee and Family Assistance program
  • Virtual wellness events
  • Conferences & training budget
  • Regular internal training programs
  • Financial planning with 3% matching Pension  
  • Competitive salary
  • Annual bonus structure


The base salary range for this position is CAD $110k - $140k.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings. 

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