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Python Analytics Jobs in Ontario (NOW HIRING)

Citi

Fixed Income Data - Senior Python Dev

Mississauga, ON · On-site

CA$94K - CA$141K/yr

Participate in component and service design for Python analytical services * Work on bug resolution and application improvements, such as performance and maintainability * May occasionally work a non ...

Kelly

Python Developer

Mississauga, ON · On-site

Python Developer Location: Mississauga, ON 6 months contract with possible extension 3 days onsite ... Strong problem-solving and analytical skills. Nice to Have: * Master's degree in a relevant field.

Kelly

Python Developer

Mississauga, ON · On-site

Python Developer Location: Mississauga, ON 6 months contract with possible extension 3 days onsite ... Strong problem-solving and analytical skills. Nice to Have: * Master's degree in a relevant field.

IT Connex

Python Developer

Mississauga, ON · On-site

What You'll Work On: ✔ Backend Python development in a fast-paced trading environment ✔ Data processing, integrations, and API connectivity ✔ SQL-based data analysis and querying ✔ Agile ...

IT Connex

Python Developer

Mississauga, ON · Hybrid

What You'll Work On: ✔ Backend Python development in a fast-paced trading environment ✔ Data processing, integrations, and API connectivity ✔ SQL-based data analysis and querying ✔ Agile ...

Insight Global

Python Developer

Toronto, ON · On-site

... analytics needs. Develop reusable code libraries, leverage automation and scheduling tools (e.g ... REQUIRED SKILLS AND EXPERIENCE * 5-10+ years of experience with R and Python development at large ...

Insight Global

Python Developer

Toronto, ON · On-site

... analytics needs. Develop reusable code libraries, leverage automation and scheduling tools (e.g ... REQUIRED SKILLS AND EXPERIENCE * 5-10+ years of experience with R and Python development at large ...

Synechron

Python Developer

Toronto, ON · On-site

CA$110K - CA$120K/yr

Develop APIs and backend services to support analytics, reporting, and downstream systems. * Work ... Strong proficiency in Python (NumPy, Pandas, etc.). * Experience building data pipelines and ...

Synechron

Python Developer

Toronto, ON · Hybrid

CA$110K - CA$120K/yr

Develop APIs and backend services to support analytics, reporting, and downstream systems. * Work ... Strong proficiency in Python (NumPy, Pandas, etc.). * Experience building data pipelines and ...

Virtusa

Senior Python Developer

Mississauga, ON · On-site

Responsibilities Design, develop, and maintain scalable Python-based applications and services Lead ... and analytical abilities Excellent written and verbal communication skills Ability to lead ...

Virtusa

Senior Python Developer

Mississauga, ON · On-site

Responsibilities Design, develop, and maintain scalable Python-based applications and services Lead ... and analytical abilities Excellent written and verbal communication skills Ability to lead ...

Syntronic

Python Developer

Kanata, ON

CA$75K - CA$95K/yr

Analyze test results, debug failures, and implement long-term fixes rather than short-term ... in Python. * Strong understanding of object-oriented programming (OOP) principles and design ...

Virtusa

Senior Python Developer

Mississauga, ON · On-site

Responsibilities Design, develop, and maintain scalable Python-based applications and services Lead ... and analytical abilities Excellent written and verbal communication skills Ability to lead ...

Scotiabank

Software Engineer (Python)

Toronto, ON · Hybrid

The Team The Client Analytics technology team is a crucial part of the Client & data management ... We are looking for a results-oriented, creative and highly motivated Software Engineer (Python) to ...

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All JobsPython Analytics JobsPython Analytics Jobs in Ontario

Python Analytics information

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.
What are popular job titles related to Python Analytics jobs in Ontario? For Python Analytics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Ontario look for? The top searched job categories for Python Analytics jobs in Ontario are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Ontario as of June 2026, with employment types broken down into 81% Full Time, 13% Part Time, 4% Temporary, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Fixed Income Data - Senior Python Dev

Fixed Income Data - Senior Python Dev

Citi

Mississauga, ON • On-site

CA$94K - CA$141K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets. 
FI’s activities include origination, structuring, investing, lending, and market making and it offers a variety of products including, but not limited to, corporate bonds, emerging markets bonds, asset backed securities, mortgage backed securities, collateralized loan obligations (CLOs), municipal securities, agency securities, short term interest rate products, loans, letters of credit, and derivative instruments, such as interest rate swaps, total return swaps, rate locks, and credit default swaps. The Fixed Income Data Platform Team is the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions. Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs.  We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.We're seeking a passionate and highly skilled senior Python developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform targeted for quantitative scientists and traders to quickly iterate on and put into production analytical and trading tools.
Key Responsibilities:
  • Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems
  • Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform
  • Participate in component and service design for Python analytical services
  • Work on bug resolution and application improvements, such as performance and maintainability
  • May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities
  • Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community
  • Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools
  • Continuously look to automate manual touchpoints in the technology delivery pipeline
Required Skills / Experience:
  • 5 years+ of hands-on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit, Airflow
  • Experience with Docker and Kubernetes/Openshift
  • Experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus
  • Experience with DevOps technologies - Ansible, Chef is a plus
  • Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.
  • Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.
  • Unit testing frameworks - PyTest
  • Understanding of the SDLC lifecycle for Agile & Waterfall methodologies
  • Excellent written and oral communication skills
Education:
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Primary Location Full Time Salary Range:$94,300.00 - $141,500.00

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

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