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Python Analytics Jobs in Ontario (NOW HIRING)

Analytics Manager

Toronto, ON ยท On-site

CA$135K - CA$155K/yr

We are looking for an Analytics Manager to lead a team of Python developers and statistical analysts within our Commercial Data Science team, based in Toronto or Markham. In this role, you will guide ...

Analytics Manager

Markham, ON ยท On-site

CA$135K - CA$155K/yr

We are looking for an Analytics Manager to lead a team of Python developers and statistical analysts within our Commercial Data Science team, based in Toronto or Markham. In this role, you will guide ...

Python (Analytics/Software Engineering) * LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series Analytics (Analytics) * Real-time or near real-time streaming ...

Use advanced analytics tools and technical capabilities, including Python, Databricks, and SQL, to support data extraction, transformation, analysis, automation, and reporting needs. * Partner with ...

Use advanced analytics tools and technical capabilities, including Python, Databricks, and SQL, to support data extraction, transformation, analysis, automation, and reporting needs. * Partner with ...

Leverage analytical tools such as Tableau, SQL, Python, and R to analyse large volumes of structured and unstructured data for reporting, analysis, monitoring, and opportunity identification.

Role Overview The Learning Innovation & Analytics Associate sits at the intersection of the ... Familiarity with statistical tools (e.g., R, Python, SPSS) is highly valued. * AI-Assisted ...

Showing results 21-40

Python Analytics information

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

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.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

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.

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.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
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:
Infographic showing various Python Analytics job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

CA$135K - CA$155K/yr

Other

Medical, Retirement

Posted 21 days ago


Job description

Experience Aviva

Together, we are Aviva.Our values - Care, Commitment, Community, and Confidence - guide how we show up for each other and for our customers. Individually, they're words. Together, they define who we are.

AtAviva Canada, we put people first, our employees, our customers, and our communities. We're proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We're not just about insurance; we're about making a real difference by protecting what matters most.

The Opportunity

Join a collaborative team of engineers, data scientists and actuaries who use technology, analytics and data to shape pricing decisions across the business. As the insurance industry continues to evolve, this role offers the chance to create a meaningful impact by helping modernize and improve our pricing capabilities.

We are looking for anAnalytics Managerto lead a team of Python developers and statistical analysts within our Commercial Data Science team, based in Toronto or Markham. In this role, you will guide the development of innovative pricing solutions that support commercial underwriting teams and improve how we serve customers, brokers and business partners.

Aviva Canada has invested inHyperexponential (Hx), a modern pricing platform that enables teams to build, deploy and manage pricing models using Python. You will lead a team responsible for developing and delivering Hx solutions across more than 20 Commercial lines within the Global Corporate and Specialty (GCS) business. Working closely with business and technical partners, you will help advance our roadmap to expand platform adoption across all GCS lines of business.

As a people leader, you will support the growth and success of a team of 5Hx developers. You will partner closely with pricing actuaries to deliver pricing solutions that bring models into production. You will also collaborate with underwriters and other business stakeholders to understand requirements, prioritize work and deliver effective solutions. In addition, you will work alongside technology teams to integrate Hx applications into the broader pricing ecosystem through APIs and microservices, helping create a seamless and scalable experience.

What you'll do:
  • Lead development cycle of HX pricing products into production in collaboration with other business stakeholders and IT professionals.

  • Oversee integration of HX products to the wider pricing ecosystem such as Policy Administrative System and Datalake using APIs and micro services.

  • Being accountable for the design and build of efficient, reusable, reliable and secure python codebase using TDD principles.

  • Mentor your team members on design and code best practices, quality, performance, and security.

  • Lead working sessions with business to gather requirements and be accountable for insuring delivery matches business needs

  • Regularly communicate updates with different stakeholders and be ready to present progress in different venues such as steering committees and decision forums.

  • Manage agile methodology with rituals such as scrums, planning, retrospectives etc. with a passion for structure but the flexibility to think outside the scrum.

What you'll bring:
  • An educational background in computer science or engineering, math, statistics, physics, or a related field. A minimum of a BSc is required, Masters is preferred.

  • 5+ years of experience in Python Development or software engineering.

  • 2+ years of experience managing teams and projects with high attention to details.

  • High energy, fast decision making and ability to quickly switch from macro to micro mode of working.

  • Good grasp of software engineering practices such as code-reusability and modularity.

  • Experience in leading collaborative teams who operate in version control environment using Git practices and repository structure.

  • A can-do teammate. You are willing to roll up your sleeves and do whatever is needed to move projects forward.

  • Excellent communication skills. You can translate and communicate sophisticated ideas to non-technical experts.

  • Intuitive problem-solving and analytical skills.

  • Strong communication and collaboration skills.

What makes you stand out:
  • Proficiency with SQL, Datalake, Snowflake and AWS.

  • Experience in the insurance industry.

What you'll get:
  • The salary band for this position ranges from $135,000 to $155,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.

  • Compelling rewards packageincluding base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.

  • Hybrid flexible work model.

  • Outstanding career development opportunities.

  • We'll support your professional development education.

  • Competitive vacation packagewith the option to purchase 5 extra days off per year.

  • Employee-driven programsfocused on gender, LGBTQ+, origins, diversity, and inclusion.

  • Corporate wellness programsto support our employees' physical and mental health.

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.

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