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Freelance Python Data Analysis Jobs in Montreal, QC

Artefact

Sr Data Analyst

Montreal, QC

... of data analysis and business strategies. We are seeking a candidate who not only possesses ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Broadsign Careers

Data Analyst

Montreal, QC · Hybrid

Innovation & Independent Analysis: You will take ownership of independent coding and analysis ... You should be comfortable coding in Python and have experience with Snowflake and AWS platforms.

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

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 ...

Averna

Data Analyst (English version)

Montreal, QC · Remote

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... analysis, and coding (e.g. SQL, Python, R). * Proven experience creating dashboards, reports, and ...

Cogeco

Analyst, BI & Data

Montreal, QC · Hybrid

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the ... Python skills are a major asset. * Data Modeling: Solid understanding of star schemas, data ...

Levio

Python Developer

Montreal, QC · Hybrid

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 ...

Bounteous

Data Engineer

Montreal, QC · On-site

Strong knowledge of SQL for reporting and data analysis * Have Worked in Agile, DevOps and Git * 3-5 years of experience with Python for ETL and report generation * Perform of data validation and ...

BRP

Data Scientist

Longueuil, QC · On-site

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Posted today

BRP

Data Scientist

Montreal, QC

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

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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?

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 freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

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.
What are the most commonly searched types of Python Data Analysis jobs in Montreal, QC? The most popular types of Python Data Analysis jobs in Montreal, QC are:
What are popular job titles related to Freelance Python Data Analysis jobs in Montreal, QC? For Freelance Python Data Analysis jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Montreal, QC look for? The top searched job categories for Freelance Python Data Analysis jobs in Montreal, QC are:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Montreal, QC as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Data Integration Engineer

GFR Technologies SE

Montreal, QC • Remote

Other

Posted yesterday

New

Job description

Data Integration Engineer (Azure & Databricks)

Location: Canada (Hybrid/Remote)
Experience: 5-8 Years

Position Overview

We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development, enhancement, and support of enterprise data integration solutions within an Azure and Databricks ecosystem.

The ideal candidate is an execution-oriented professional who enjoys building and supporting data pipelines, integrating data from multiple source systems, and implementing scalable modern data platform solutions. While the role requires participation in solution discussions, the primary focus is on delivery, implementation, and operational support, rather than enterprise architecture or strategic consulting.

Key Responsibilities

Data Integration & Engineering

  • Design, develop, and maintain scalable data integration pipelines using Azure and Databricks.
  • Build and support batch and near real-time data ingestion processes from multiple internal and external source systems.
  • Develop data transformation logic to support analytics, reporting, and business consumption requirements.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize pipeline performance and troubleshoot production issues.

Databricks Development

  • Develop and maintain Databricks notebooks, workflows, and processing pipelines.
  • Build transformation frameworks using Spark and Databricks best practices.
  • Support data ingestion, cleansing, enrichment, and aggregation activities.
  • Work with large and complex datasets across multiple domains.

Azure Data Platform Delivery

  • Develop solutions using Azure data services including:
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Azure Databricks
    • Azure SQL
    • Azure Synapse (preferred)
  • Support deployment, monitoring, and operational activities across the data platform.

Data Architecture Implementation

  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Ensure data lineage, governance, and consistency across the platform.
  • Contribute to data modeling and solution design discussions.
  • Translate architectural direction into technical implementation and delivery.

Team Collaboration

  • Collaborate closely with Data Engineers, Solution Architects, Product Owners, and Business Stakeholders.
  • Support ongoing initiatives and enhancements within an established delivery team.
  • Participate in Agile ceremonies, sprint planning, estimation, and backlog refinement.
  • Assist in production support, troubleshooting, and continuous improvement initiatives.

Required Qualifications

  • 5-8 years of experience in Data Engineering, Data Integration, or Data Platform Development.
  • Strong hands-on experience with Azure Databricks.
  • Proven experience building and supporting enterprise-scale data pipelines.
  • Strong understanding of data ingestion, transformation, and integration patterns.
  • Experience integrating data from multiple source systems and platforms.
  • Solid understanding of modern data lake and lakehouse architectures.
  • Experience implementing Medallion Architecture concepts.
  • Strong SQL development and data analysis skills.
  • Experience working within Agile delivery teams.

Technical Skills

Required

  • Azure Databricks
  • Apache Spark / PySpark
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • SQL
  • Python
  • Data Integration & ETL/ELT Development
  • Data Quality & Reconciliation

Preferred

  • Azure Synapse Analytics
  • Delta Lake
  • CI/CD for Data Pipelines
  • Azure DevOps
  • Git
  • Kafka or Event-Driven Architectures
  • Power BI

Preferred Experience

  • Experience supporting cloud-based analytics and reporting platforms.
  • Experience working with complex enterprise data ecosystems.
  • Exposure to financial services, insurance, banking, or regulated industries.
  • Experience supporting production environments and ongoing operational initiatives.
  • Familiarity with data governance and data management best practices.

Apply