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Freelance Python Data Analyst Jobs in Montreal, QC

Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us ... You should be comfortable coding in Python and have experience with Snowflake and AWS platforms.

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikit‑learn). * Strong analytical, problem‑solving, and statistical ...

Role Overview We are seeking a Python Developer with experience in pricing models and banking ... data (interest rates, volatility, curves) * Optimize performance of pricing engines and analytics ...

Levio is currently seeking a Python Developer to contribute to a largescale project based in ... data and infrastructure teams to ensure smooth integration of solutions ; * Analyze technical ...

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Freelance Python Data Analyst information

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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 supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are the most commonly searched types of Python Data Analyst jobs in Montreal, QC? The most popular types of Python Data Analyst jobs in Montreal, QC are:
What job categories do people searching Freelance Python Data Analyst jobs in Montreal, QC look for? The top searched job categories for Freelance Python Data Analyst jobs in Montreal, QC are:
Infographic showing various Freelance Python Data Analyst job openings in Montreal, QC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

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Job description

Data AnalystReports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid)About Us

Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.

About the Role

As a Data Analyst at Broadsign, you will join our Data Science & Analytics team to solve real-world problems and generate significant business impact. You will play a pivotal role in supporting our data-driven product portfolio, working closely with commercial and engineering teams to ensure our clients succeed in the rapidly growing Digital Out of Home (OOH) media channel.

What to Expect
  • Data Operations & Product Performance: You will support daily and monthly data operations while helping to build monitoring and QA processes. This includes learning the methodologies behind our data products and ensuring high performance through detailed reporting.
  • Commercial Support & Problem Solving: Working with commercial team members, you will diagnose and address client-facing data issues. You will be a key collaborator for engineers, data scientists, and business leaders to drive data-driven decision-making.
  • Innovation & Independent Analysis: You will take ownership of independent coding and analysis projects to explore new methodologies. We expect you to contribute creative ideas for new innovations that will help shape our future product roadmap.
What you need to perform in this job
  • Technical Proficiency: Strong experience with SQL and business intelligence tools like Looker or Tableau. You should be comfortable coding in Python and have experience with Snowflake and AWS platforms. Experience with software engineering best practices (CI/CD) and GIS data and systems is a plus, as is experience with web languages/standards.
  • Analytical Mindset: Formal training in data science, including statistical analysis, visualization, and machine learning. Strong problem-solving and critical-thinking skills are critical for this role, as you will be asked to tackle problems that have not been encountered before.
  • Soft Skills: A natural curiosity to learn how things work and quickly embrace new technologies and tools. You must be able to communicate clearly on technical matters and be able to work effectively within a team while taking independent ownership of your tasks.
What we bring to the table
  • Comprehensive Benefits: Complete company insurance plan (health, dental, vision, travel) effective from day one, 100% employer-paid. This includes a $500 annual Health Care Savings Account (HCSA) and unlimited access to the Telus Health virtual platform.
  • Wellness & Fitness: A $500 annual Wellness fund to support your mental/physical health and office-related expenses.
  • Paid Time Off: 3 weeks vacation, 5 floater days, 5 sick/personal days, and 2 volunteer days.
  • Retirement Savings: Group RRSP with 50% employer matching up to 4% of your salary.
  • Financial Perks: Transportation reimbursement for travel to a Broadsign office.
  • Family Support: Parental leave salary supplement, including a 23-week maternity top-up.
  • Growth Opportunities: A dedicated yearly budget for training and professional development.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French. Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry.