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

GFR Technologies SE

Data Analyst

Toronto, ON

Knowledge of Python for data analysis and automation. * Experience with Power Query (M), DAX, and semantic models. * Understanding of ETL/ELT processes and data transformation concepts. * Experience ...

Konrad

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 ...

Tucows

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

This role reports to the Data Engineering Manager. What You'll Do * SQL & Business Analysis ... Python, or similar tools. * Communication: Ability to explain complex analysis clearly to both ...

Tucows Inc.

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

This role reports to the Data Engineering Manager. What You'll Do * SQL & Business Analysis ... Python, or similar tools. * Communication: Ability to explain complex analysis clearly to both ...

Rakuten Kobo

Data Analyst

Toronto, ON · On-site +1

Rakuten Kobo Inc. is seeking an experienced Data Analyst to join our Data Storytelling & Insights ... Working knowledge of Python for analysis, automation, orMLadjacentuse cases. * Familiarity with ...

Ci

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 ...

Wings Food Products

Senior Data Analyst

Toronto, ON · On-site

CA$60K - CA$80K/yr

SENION DATA ANALYST Key Responsibilities The ideal candidate has proven experience in ERP ... Experience with Python * Experience in manufacturing, logistics, finance, or distribution

Konrad

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 ...

Canadiantirecorporation

Business Data Analyst

Oakville, ON · Hybrid

CA$53K - CA$88K/yr

Oracle, Databricks, IKC, Azure, GCP, Big Query, Hadoop, Hive, Python, R, Shell Scripting, SAS ... data ingestion/ETL, master data * Analytical mindset and critical thinking skills * Advanced ...

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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

Data Analyst

GFR Technologies SE

Toronto, ON

Other

Posted 4 days ago

Job description

About the Role

We are seeking a skilled Data Analyst to join our growing team in Toronto. This position is ideal for an analytical professional with 5-7 years of experience transforming complex data into actionable business insights. You will work closely with business stakeholders, technology teams, and leadership to analyze data, develop reporting solutions, improve decision-making, and support strategic initiatives across the organization.

This role requires a strong combination of data analysis, business intelligence, stakeholder engagement, and data visualization expertise.

Location: Toronto, ON (Hybrid - mandatory office presence)
Employment Type: Full-Time

Key Responsibilities
  • Collect, analyze, validate, and interpret large datasets from multiple sources.
  • Develop and maintain dashboards, reports, KPIs, and scorecards using modern BI tools.
  • Translate business requirements into meaningful analytical solutions and reporting frameworks.
  • Perform data profiling, cleansing, validation, and quality assurance activities.
  • Identify trends, patterns, risks, and opportunities through data-driven analysis.
  • Create and maintain semantic models, datasets, and data dictionaries.
  • Support business stakeholders with ad hoc analysis and data-driven recommendations.
  • Partner with technical teams to improve data quality, governance, and reporting capabilities.
  • Develop and automate reporting processes to improve efficiency and accuracy.
  • Present findings and actionable insights to both technical and non-technical audiences.
  • Support data governance initiatives and ensure compliance with data management standards.
  • Participate in Agile delivery teams and contribute to continuous process improvements.
Required Qualifications
  • Undergraduate degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, Engineering, Finance, or a related discipline.
  • 5-7 years of experience in Data Analysis, Business Intelligence, Reporting, or Analytics roles.
  • Strong experience with:
    • SQL
    • Power BI
    • Excel (advanced functions, pivot tables, Power Query)
    • Data visualization and dashboard development
    • Data modelling and KPI reporting
  • Experience gathering and documenting business requirements.
  • Strong analytical and problem-solving abilities.
  • Experience performing data quality assessments and validation activities.
  • Excellent communication and stakeholder management skills.
  • Ability to communicate complex analytical findings in a clear and concise manner.
Preferred Qualifications
  • Experience working with Azure Data Platform, Databricks, or cloud-based analytics solutions.
  • Knowledge of Python for data analysis and automation.
  • Experience with Power Query (M), DAX, and semantic models.
  • Understanding of ETL/ELT processes and data transformation concepts.
  • Experience operating in Agile/Scrum environments.
  • Familiarity with data governance, metadata management, and reporting best practices.
  • Exposure to banking, financial services, insurance, public sector, or consulting environments.
Technical Skills Required
  • SQL
  • Power BI
  • DAX
  • Power Query
  • Excel (Advanced)
  • Data Analysis & Reporting
  • Dashboard Development
  • KPI & Performance Measurement
  • Data Validation & Quality Control
Nice to Have
  • Python
  • Databricks
  • Azure Data Services
  • ServiceNow Reporting
  • SharePoint
  • Azure DevOps
  • Git
Success Profile

The ideal candidate is:

  • Highly analytical and detail-oriented.
  • Comfortable working with large and complex datasets.
  • Curious and proactive in identifying business opportunities through data.
  • Skilled at balancing technical analysis with business context.
  • Able to work independently while collaborating effectively with cross-functional teams.
  • Passionate about delivering insights that drive measurable business outcomes.

Salary Range : 75-90k/year 

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