1

Freelance Python Data Analysis Jobs in Toronto, ON

There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured dataand unstructured ...

There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured ...

There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured ...

There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured dataand unstructured ...

There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured ...

There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured ...

... SAS, SQL, Python). The role is responsible for supporting the delivery of advanced consulting ... Find client improvement opportunities and build comprehensive data analysis. * Relationships ...

... SAS, SQL, Python). The role is responsible for supporting the delivery of advanced consulting ... Find client improvement opportunities and build comprehensive data analysis. * Relationships ...

Proficiency in SQL and Python for data analysis and data testing. * Demonstrated experience with researching and understanding complex data models, especially related to master data management.

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

The ideal candidate will have a strong background in both data analysis and business processes ... Working knowledge and understanding of Python. * A strong analytical mindset and sophisticated ...

Showing results 21-40

Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

What are the most commonly searched types of Python Data Analysis jobs in Toronto, ON?

The most popular types of Python Data Analysis jobs in Toronto, ON are:

What are popular job titles related to Freelance Python Data Analysis jobs in Toronto, ON?

For Freelance Python Data Analysis jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Freelance Python Data Analysis jobs in Toronto, ON look for?

The top searched job categories for Freelance Python Data Analysis jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Freelance Python Data Analysis jobs?

Cities near Toronto, ON with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Associate Data Analyst (Co-op)

Insurance Systems

Toronto, ON • Remote

Other

Posted 8 days ago


Job description

About ISI

Insurance Systems Inc. (ISI) develops innovative software solutions for the property and casualty insurance industry across North America. Our collaborative team partners with insurers to modernize operations through technology, analytics, and exceptional client service.



Position Summary 

The Associate Data Analyst (Co-op) will support the Data Team in delivering reporting, analytics, data conversion, and quality assurance activities for ISI. This role provides hands-on experience working with insurance data, business intelligence tools, SQL, and client implementations while learning from experienced data professionals. 

The successful candidate will gain exposure to the full software development lifecycle and collaborate with Product, Client Services, Development, and Quality Assurance teams. 


Key Responsibilities: 

Analytics & Reporting 

  • Assist with creating and maintaining reports within ISI Core and ISI Analytics. 
  • Support the development of new reports based on business and client requirements. 
  • Review existing reports and recommend opportunities for improvement. 
  • Help maintain report documentation and user guides. 
  • Perform report validation and testing prior to release. 
  • Assist with troubleshooting report and data issues. 
  • Support Analytics deployment activities. 
  • Assist with customer inquiries related to reporting and analytics. 
  • Learn and explore emerging analytics technologies, including Generative AI and Business Intelligence tools. 



Data Conversion 

  • Support data conversion activities for new client implementations. 
  • Assist in documenting data mapping requirements. 
  • Help prepare and execute data validation queries. 
  • Review converted data for accuracy and completeness. 
  • Participate in conversion testing activities. 
  • Quality Assurance & Business Analysis 
  • Assist in documenting business and reporting requirements. 
  • Support testing of new product enhancements and bug fixes. 
  • Execute test cases and document results. 
  • Identify, document, and report defects. 
  • Participate in team meetings and solution discussions. 



General 

  • Collaborate with Data Analysts, Developers, Product Managers, and Client Services teams. 
  • Maintain accurate documentation for assigned work. 
  • Continuously develop technical and analytical skills. 
  • Contribute ideas for improving reporting processes and team efficiency. 



Qualifications: 

Required 

  • Currently enrolled in a College or University program in: 
  • Computer Science 
  • Data Analytics 
  • Information Systems 
  • Mathematics 
  • Statistics 
  • Software Engineering 
  • Business Technology Management 
  • or a related discipline. 
  • Strong analytical and problem-solving skills. 
  • Excellent attention to detail. 
  • Strong written and verbal communication skills. 
  • Ability to manage multiple priorities and meet deadlines. 
  • Eagerness to learn new technologies. 


Technical Skills 

  • Experience with or an interest in learning: 
  • SQL 
  • Microsoft Excel 
  • Power BI or other Business Intelligence tools 
  • Data analysis and reporting 
  • Relational databases 
  • Software testing 
  • Data validation 
  • Microsoft Office Suite 


Nice to Have 

  • Knowledge of insurance or financial services 
  • Experience with Python or another programming language 
  • Familiarity with Microsoft SQL Server 
  • Exposure to ETL or data migration concepts 
  • Experience using AI tools to support data analysis or reporting 


What You'll Learn 

During your co-op term, you'll gain experience in: 

  • Business Intelligence and reporting 
  • SQL development 
  • Data conversion and migration 
  • Software Quality Assurance 
  • Business Analysis 
  • Client-facing consulting 
  • Insurance software implementation 
  • Modern analytics tools and AI-enabled reporting 

Work Environment

This is a paid, 16-week co-op placement based in our Toronto office, with a work environment that provides opportunities to collaborate closely with experienced professionals while gaining hands-on industry experience.


Accessibility & Accommodation

At Insurance Systems Inc., we believe that diverse perspectives make us stronger. We are committed to providing an inclusive, accessible recruitment process for all candidates. If you require accommodation during any stage of the hiring process, please let us know. We will work with you to provide reasonable accommodations in accordance with applicable legislation.