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Python Data Analysis Jobs in Ontario (NOW HIRING)

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Python data analysis and manipulation tools (e.g. pandas, numpy, dask); * Source control-based system (e.g. Git); * Trend analysis and predictive modeling; and, * Data collection, analysis and ...

University of Toronto

Data Analyst

Toronto, ON

CA$86K/yr

Experience using programming or scripting languages for data analysis and automation (e.g., Python, R). * Experience developing semantic models, business data layers, or dimensional data structures.

Jay Analytix

Python Developer

Toronto, ON · On-site

Proficiency in Python and Flask framework. * Strong understanding of React.js and its core ... Familiarity with data analysis tools is a plus What will you do? Front-end Development (React)

Jay Analytix

Python Developer

Toronto, ON

Proficiency in Python and Flask framework. * Strong understanding of React.js and its core ... Familiarity with data analysis tools is a plus What will you do? Front-end Development (React)

Tabby LLC

Proficiency in Python for data analysis, automation, and integration tasks. * Experience with data visualization tools (e.g. Tableau, Metabase, Looker). * Understanding of Airflow , DAG orchestration ...

U Education Management Pvt. Ltd.

We are country's premium data science team featured widely in press and news. \n Responsibility \n ... Sound knowledge of tools (specifically R\/Python) used in statistical analysis \n * Good ...

Ellisdon

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;

Alquemy

Sr. Business Data Analyst

Toronto, ON

The incumbent develops data quality controls, performs business and data analysis, supports ... Proficiency with SQL and advanced Microsoft Excel; experience with Python, ETL processes, reporting ...

THOMSON REUTERS

Lead Data Engineer

Toronto, ON · Hybrid

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint. * Have ...

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Python Data Analysis information

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Ontario? The most popular types of Python Data Analysis jobs in Ontario are:
What are popular job titles related to Python Data Analysis jobs in Ontario? For Python Data Analysis jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Ontario look for? The top searched job categories for Python Data Analysis jobs in Ontario are:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Ontario as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Specialist Data & Analytics

Chartwell Retirement Residences

Mississauga, ON • Hybrid

Full-time

Posted 12 days ago

Job description

The Opportunity

We are seeking a highly skilled and motivated Data and Analytics Specialist to join our growing Data and Analytics team. The ideal candidate will bring deep technical expertise in Snowflake, Azure cloud services, SQL, Python and Power BI, to help design, develop, and optimize data solutions that support strategic initiatives across the organization.

Key Accountabilities
  • Develop, optimize, and maintain robust data pipelines and ETL processes using Azure Data Factory, Azure Data Lake, and Snowflake.
  • Write, read, and debug complex SQL queries and Snowflake stored procedures to support data transformation and reporting needs.
  • Create and deploy scalable Python scripts and Azure Functions for automation, data processing, and advanced analytics.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
  • Support data governance, quality assurance, and metadata management practices across the organization.
  • Contribute to the design and documentation of enterprise data models and pipelines.
  • Develop and maintain analytical reports, dashboards and semantic models using Power BI
  • Monitor pipeline performance and implement improvements for reliability, scalability, and efficiency.
  • Stay current with industry trends and best practices in cloud data engineering and analytics.
Qualifications

Education:

  • Undergraduate degree in Computer Science, Engineering, Mathematics, or related STEM field; a Master's degree is an asset.

Experience:

  • Snowflake certification (e.g., SnowPro Core or Advanced Architect) strongly preferred.
  • At least 3-5 years of experience using a modern data stack with hands-on use of:
    • Snowflake (warehousing, streams, tasks, UDFs)
    • Azure Data Factory, Azure Data Lake, Azure Functions
    • SQL (advanced query development and debugging)
    • Python (data processing and automation)

Skills & Abilities:

  • Functional experience with data visualization tools (e.g., Power BI) is required.
  • DevOps practices is a strong asset.
  • Strong analytical, communication, and problem-solving skills.
  • Demonstrated ability to work independently and collaboratively in a fast-paced environment.

Effort

  • Requires sustained mental focus for data analysis, debugging, pipeline optimization, and report development
  • Involves frequent use of computer systems and cloud-based tools for extended periods
  • Requires multitasking and prioritizing requests from multiple stakeholders in a dynamic environment
  • Attention to detail is critical when handling complex data queries, coding scripts, and quality checks

Working Conditions

  • Work is primarily performed in a corporate office setting with the flexibility of a hybrid work model
  • May involve occasional extended hours during system deployments, data migrations, or project deadlines
  • Requires regular virtual collaboration with cross-functional teams and business stakeholders
  • Must be comfortable working in a fast-paced, agile, and evolving technical environment                            

At Chartwell, we're all about Making People's Lives BETTER: the lives of our residents and their families, and the lives of our employees. Join an exceptional group of diverse, inspiring, and caring people who are empowered to provide personalized, human experiences for our residents and staff through the connections they make every day within our communities. 

Chartwell's commitment to diversity and inclusivity is a commitment to hiring people whose skills and abilities contribute the most to the success of the organization and who reflect the communities in which we live and work. We are an equal opportunity employer and welcome applications from a wide range of qualified candidates, including people with disabilities. If you have questions or require assistance with the application process, please email accessibility@chartwell.com or call 1-888-663-6448. 

Chartwell may use artificial intelligence to assist in screening and assessing applicants for this position. 

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Apply