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Freelance Python Data Analysis Jobs in Toronto, ON

Senior Data Quality Analyst

Toronto, ON · On-site

CA$77K - CA$112K/yr

Proficiency in SQL and Python for data analysis and data testing. * Demonstrated experience with researching and understanding complex data models, especially related to master data management.

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

The ideal candidate will have a strong background in both data analysis and business processes ... Working knowledge and understanding of Python. * A strong analytical mindset and sophisticated ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

Proficiency in Python, R, or similar language for data analysis and automation * Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI) * Strong ...

... Python for analysis in a professional setting - Experience building and maintaining data pipelines, warehouses, and infrastructure - Strong communication skills to convey technical insights to both ...

Data Analyst, HR

Toronto, ON · On-site

CA$127K/yr

The Data Analyst, HR exists to strengthen HR technology, analytics, and data integrity so that HR ... analysis and programming using R and/or Python. * Delivers advanced analytics and reporting ...

At least 5 years of experience in Python, Scala, or R for large scale data analysis Working at Capital One. Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace ...

... data analysts, and technology partners to deliver reliable data solutions. Ensure data quality, governance, and performance across large datasets. Leverage Google BigQuery, Python, GBQ stored ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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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 12 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.