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Python Analytics Jobs in Ontario (NOW HIRING)

Syntronic

Python Test Developer

Waterloo, ON

CA$75K - CA$95K/yr

Analyze software requirements to inform test strategy and ensure comprehensive test coverage ... Develop, automate, and maintain robust test suites and scripts (e.g., using Gtest, Python ...

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 ...

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 ...

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Digital Agriculture Analytics Lead

Toronto, ON · On-site

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 ...

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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:
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.

Healthcare Research & Data Analyst

Clarivate Analytics

Toronto, ON • Hybrid

CA$54K - CA$68K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 13 days ago

Job description

Clarivate provides advisory and management consulting services to industry leading and emerging pharmaceutical, biotechnology and MedTech companies. We combine deep domain expertise and data driven analysis to deliver relevant insights and customized, actionable solutions for our clients in the areas of new product planning, commercial strategy and pricing & market access.

We are seeking a Healthcare Research & Data Analyst to join our team. In this role, you will support highimpact analytical and market insights projects by interpreting complex healthcare datasets, identifying key trends, and developing actionable recommendations for clients. You will collaborate closely with crossfunctional teams, engage directly with customers, and help deliver the trusted intelligence that enables our clients to accelerate innovation and improve patient outcomes.

About You - experience, education, skills, and accomplishments

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

  • Minimum 3 years of experience in quantitative data analysis, ideally with exposure to healthcare datasets.

  • Proven experience working with complex datasets, investigate data issues, identify trends/gaps, and produce actionable insights.

  • Proficient in SQL, with experience querying and managing large, multi-dimensional data sources.

  • Strong client-facing communication skills, including presenting data insights to internal and external stakeholders.

It would be great if you also have...

  • Advanced degree

  • Experience with life sciences customers

  • Familiarity with additional data languages (e.g., Python, R), which would help expand analytical capabilities and improve efficiency in working with complex healthcare datasets

  • Exposure to or experience with project management responsibilities, including planning, coordination, and stakeholder communication across cross-functional teams

What you will be doing in this role...

  • Lead end-to-end market research projects delivering quantitative insights on global medical device markets, while building market models using Clarivate's proprietary healthcare datasets.

  • Develop deep expertise in healthcare data and the medical industry, building strong knowledge of backend datasets, data dictionaries, and product methodology to confidently interpret, explain, and apply insights.

  • Engage directly with clients-from Fortune 500 companies to startups-to understand their pain points, manage calls with high-level knowledge of their product portfolios, and provide strategic solutions that address their challenges.

  • Deliver impactful presentations and training, using concise PowerPoint summaries to clearly communicate findings, key trends, and recommendations to both internal and external stakeholders.

  • Investigate complex data challenges by deep-diving into data pipelines and sample chain perspectives, proactively identifying issues, highlighting gaps/trends, and proposing actionable solutions.

  • Collaborate closely with Product Managers and cross-functional teams, capturing client feedback, informing statement of work documentation, and contributing to product enhancements, features, and data model evolution.

Hours of Work

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

  • This is a hybrid position working in the office up to 3 days a week within our offices centrally located in Toronto

The expected base salary for this position is $54,400 - $68,000 CAD per year.This role is eligible for sales incentive 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.

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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