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

Data Analyst Intern

Mississauga, ON · On-site

CA$34.50 - CA$37/hr

Grow with us Data Analyst Co-op Location: Mississauga, ON Duration: 12 months Start date: January 4th, 2027 Please upload your unofficial transcript when applying. (Use the "Cover letter" uploading ...

... in SQL and Python & MS Excel Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau) Nice to haves Experience in media agency or marketing is a strong plus ...

Execute market research projects end to end, including scoping, design, data collection, and ... Experience with advanced analytics or visualization tools (e.g., Python, R, Tableau, Qlik, DataIKU ...

Data Analyst

Toronto, ON · On-site +1

If you enjoy solving complex problems, working with data tools such as Power BI, Python, R, or ... Analyze key business metrics to evaluate and improve strategic initiatives * Translate data into ...

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal ... Statistical analysis (Excel, SPSS, SAS, R, or Python); * ETL methodologies and toolsets;

Junior Data Analyst

Toronto, ON · On-site

CA$50K - CA$60K/yr

Python, SQL, and other data analytics skills are highly preferred. * Strong analytical and problem-solving skills. * Excellent communication and presentation skills. * Strong project management ...

This role combines deep product analytics judgment, strong SQL/Python capability, software ... Proactively mine for data drive insights to support PSET's platform outcomes, focusing on ...

Experience with Python or R is an asset. Familiarity with cloud and data warehousing platforms such as Snowflake, Hadoop, GCP, or similar technologies. Core Competencies Strong analytical and problem ...

Data Analyst

Mississauga, ON · On-site

CA$94K - CA$136K/yr

Proficiency in Python for data analysis and AI and ML workflows * Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms * Familiarity with Responsible AI ...

Data Analyst

Brampton, ON · On-site

CA$94K - CA$136K/yr

Proficiency in Python for data analysis and AI and ML workflows * Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms * Familiarity with Responsible AI ...

Data Analyst

Toronto, ON

CA$94K - CA$136K/yr

Proficiency in Python for data analysis and AI and ML workflows * Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms * Familiarity with Responsible AI ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... Programming experience in Python, Bash scripting, R or related language * Working proficiency in ...

Data Analyst

Maple, ON · On-site

CA$94K - CA$136K/yr

Proficiency in Python for data analysis and AI and ML workflows * Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms * Familiarity with Responsible AI ...

Data Analyst

Unionville, ON · On-site

CA$94K - CA$136K/yr

Proficiency in Python for data analysis and AI and ML workflows * Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms * Familiarity with Responsible AI ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

The Data Solutions team focuses on developing data-driven solutions, driving innovation, and ... Working knowledge and understanding of Python. * A strong analytical mindset and sophisticated ...

Summary The Data Analyst II role is to deliver a final business solution to the operations team ... intern type environment required. * Two (2) years or more 2-4 years' experience in creating ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

Proficiency in Python, R, or similar language for data analysis and automation * Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI) * Strong ...

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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 are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

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 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 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 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:

Data Analyst Intern (Winter/January 2027, 8+ Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 2 days ago

New


Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst Intern who will work to help utilize vast datasets to draw meaningful insights and solve business problems. This internship position will analyze and mine business data to identify correlations and discover patterns from various data points. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Analyst Intern your key area of responsibility will be to assist with the design and maintenance of data systems and databases using statistical tools to interpret data sets. On a typical day, you will work closely with your direct supervisor, other interns in the same department, as well as other teams within the business. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and others.

The opportunity:
  • 8+ month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Collaborate globally with colleagues from the Business Transformation team and other functions of the business to drive results.
  • Build and review statistical, predictive and machine learning models to drive sourcing accuracy.
  • Ensure data quality throughout all stages including data sourcing/collection, generation, normalization, and transformation.
  • Use SQL and Python to interact with Geotab's big data infrastructure.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions.
  • Build compelling stories from data and present them to different types of technical and non-technical stakeholders.
  • Make recommendations for new metrics, techniques, and strategies to improve Geotab's product suite.
  • Promote data-driven decision-making across the team, using tools such as SQL, and Google Sheets.
  • Provide leaders with insights and visualizations in order to make data decisions to provide the most consistent and usable data for all teams across the company.
What you'll bring to the role:
  • Degree in Computer Science, Engineering, Mathematics, or a related field of study in progress.
  • Some experience as a Data Analyst or pursuing a career path in Data Analytics/Data Science.
  • Technical experience using SQL, Python or Google BigQuery is an asset.
  • Some knowledge of data mining/data warehousing, data modeling, statistical analysis, database management, reporting, and data analysis.
  • Experience with developing machine learning models and in feature engineering is an asset.
  • Some knowledge of data visualization tools (e.g. Superset, Tableau).
  • Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
  • Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.Â