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Python Data Analysis Jobs in Montreal, QC (NOW HIRING)

Innovate new data analysis methods to enhance business insights and decisionmaking. * Monitor ... Technical upkeep for the intranet (built on top of SharePoint using MS Access and Python), with a ...

Innovate new data analysis methods to enhance business insights and decisionmaking. * Monitor ... Technical upkeep for the intranet (built on top of SharePoint using MS Access and Python), with a ...

Innovate new data analysis methods to enhance business insights and decisionmaking. * Monitor ... Technical upkeep for the intranet (built on top of SharePoint using MS Access and Python), with a ...

Innovate new data analysis methods to enhance business insights and decisionmaking. * Monitor ... Technical upkeep for the intranet (built on top of SharePoint using MS Access and Python), with a ...

... 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 ...

As Manager, Information Services, you'll lead a multidisciplinary team of data engineers, analysts ... Strong technical proficiency in SQL, Python, data modeling, and cloud environments (preferably ...

Build analytics tools that utilize the data pipeline to provide actionable insights into customer ... Industry experience working with data, coding and scripting (Python/Java/Scala/SQL/JS/Bash), and ...

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.

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.

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Python Data Analysis information

See Montreal, QC salary details

$22.9K

$103.9K

$187.5K

How much do python data analysis jobs pay per year?

As of Jun 12, 2026, the average yearly pay for python data analysis in Montreal, QC is $103,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,332.00 and $139,107.00 per year, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

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 job categories do people searching Python Data Analysis jobs in Montreal, QC look for? The top searched job categories for Python Data Analysis jobs in Montreal, QC are:
Senior Software Engineer - Python

Senior Software Engineer - Python

Kunai

Montreal, QC • On-site

Other

Posted 6 days ago


Job description

Location: Montreal, Quebec - Onsite Work Required

We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. 

Key Responsibilities: 

  • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica. 
  • Design and implement data workflows on Snowflake or comparable cloud data platforms. 
  • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations. 
  • Write efficient, maintainable, and well-tested Python code following object-oriented principles. 
  • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis. 
  • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell. 
  • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency. 
  • Contribute to best practices around code quality, testing, and deployment. 

Required Skills & Experience: 

  • Strong proficiency in Object-Oriented Python development. 
  • Experience designing and executing ETL processes, preferably with Informatica. 
  • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery. 
  • Solid SQL skills for complex query writing and performance optimization. 
  • Proficiency in scripting languages like Shell, Bash, or PowerShell. 
  • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts. 
  • Familiarity with software development best practices, source control, and CI/CD pipelines. 
  • Experience working in Agile environments. 
  • Full working proficiency with English (Written and Verbal) 

Preferred Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. 
  • Prior experience in financial services, especially with data reconciliation or risk-related data workflows