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Python Analytics Jobs in Ontario (NOW HIRING)

Viral Nation Inc.

Analytics Lead

Toronto, ON

CA$110K - CA$140K/yr

Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure, and BI ...

Environics Analytics

DevOps Engineer

Toronto, ON · On-site

NET and Python application deployments * Understanding of the Azure observability stack: Log Analytics, Application Insights, Azure Monitor alerts, Grafana, and Prometheus * Experience with code ...

New

Moneris

Manager, Data Analytics

Toronto, ON · Hybrid

CA$118K - CA$154K/yr

This role combines hands-on analytics, team leadership, and executive-level reporting. You will ... Programming experience (e.g., Python, R, or similar). Your Moneris Career - What you get At Moneris ...

Scotiabank

Manager, Analytics and BI

Toronto, ON

Proficiency with analytical tools and technologies, including GCP/Big Data environments, Python, R, SAS, SQL, and Excel. * Proven ability to extract, interpret, and translate data into meaningful ...

New

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Digital Agriculture Analytics Lead

Toronto, ON

Experience using analytics and data tools such as SQL, Python (or similar), and business intelligence platforms (e.g., Power BI or equivalent) * Experience working with multiple data sources and ...

CIBC US

Consultant, Fraud Analytics

Toronto, ON · Hybrid

Your ongoing data analysis will directly impact rules management within our fraud mitigation ... Data Management- Create and maintain SAS, SQL, and Python programs to access decision support data ...

CIBC

Consultant, Fraud Analytics

Toronto, ON · Hybrid

Your ongoing data analysis will directly impact rules management within our fraud mitigation ... Data Management- Create and maintain SAS, SQL, and Python programs to access decision support data ...

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All JobsPython Analytics JobsPython Analytics Jobs in Ontario

Python Analytics information

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.

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 a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
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 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.
Lead Healthcare Research & Data Analyst

Lead Healthcare Research & Data Analyst

Clarivate Analytics

Toronto, ON • Hybrid

CA$88K - CA$110K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 22 days ago

Job description

Overview:

Clarivate provides innovative data and analytical solutions to the largest biopharmaceutical and medical technology companies in the world.We are home to leading life sciences and healthcare solutions including Cortellis, solutions for Real World Data, medtech, market access and commercialization and deep consulting services.

About you:

  • Bachelor's degree with a concentration in sciences, healthcare, data analytics, or business.

  • Minimum 5-7+ years of experience in quantitative data analysis, ideally with exposure to healthcare or claims datasets.

  • Hands-on experience working with real-world healthcare datasets (e.g., claims, EHR data) is strongly preferred; deep familiarity with claims data structures and limitations is a significant asset[

  • Proven ability to work with large, complex, multi-dimensional datasets-independently investigating data issues, identifying patterns/trends, and translating findings into actionable insights.

  • Advanced proficiency in Excel (including complex modeling and data manipulation); experience with additional analytical tools (e.g., SQL, Python, Power BI) is an asset.

  • Strong client-facing experience, including leading discussions, presenting insights, and influencing stakeholder decisions at senior levels.

It would be great if you also have...

  • Experience supporting life sciences or medtech clients, particularly in commercial, market access, or strategy contexts.

  • Exposure to market modeling, forecasting, or epidemiology-informed analysis.

  • Experience mentoring junior analysts or contributing to team capability building.

  • Familiarity with data QA/QC processes, data governance, or methodology development.

What you will be doing in this role...

  • Lead and own end-to-end market research and analytics projects using Clarivate's proprietary healthcare datasets.

  • Build, refine, and validate data, ensuring accuracy, consistency, and defensibility of outputs. Proactively identify data gaps, inconsistencies, or risks, supporting root-cause analysis and driving resolution in collaboration with cross-functional teams.

  • Serve as a subject matter expert in claims and real-world data, developing deep knowledge of internal datasets, data dictionaries, and product methodology to confidently interpret and communicate insights.

  • Act as a trusted partner to clients-from Fortune 500 companies to startups-leading discussions with stakeholders, understanding business challenges, and translating them into structured analytical approaches and solutions.

  • Deliver clear, concise, and executive-ready outputs (presentations, summaries, training), tailoring messaging to both technical and non-technical audiences.

  • Collaborate closely with Product, Content, and Commercial teams to shape product improvements, inform methodologies, and scale best practices.

  • Contribute to team development, including coaching junior team members and improving processes to enhance efficiency and quality.

About the Team

Clarivate's Medtech Insights team harnesses real-world healthcare data, in-depth interviews, and our unique mix of in-house expertise to help medical device companies make some of their most important business decisions. The Medtech Content team is an essential part of the broader Medtech team's data-driven culture and regularly contributes its subject matter expertise to other teams within the organization.

Hours of Work

  • This is a full-time position, working primarily core business hours EST zone

  • This role can be performed hybrid with our offices centrally located in Toronto

Compensation

The expected base salary for this position is $88,000 - $110,000 CAD per year.This role is eligible for (incentive or bonus) earnings.Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors.

In addition to a competitive remuneration package, you will be eligible to participate in a benefits package that includes medical, dental, prescription drug, life insurance, 401k with match, long term disability coverage, vacation, sick time, volunteer time, discount programs, and many more.

#LI-hybrid

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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