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Data Analyst Python Sql Jobs in Montreal, QC (NOW HIRING)

Data Analysis and Reporting: Process, validate, and analyze data to create critical reports that ... Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to ...

Data Analysis and Reporting: Process, validate, and analyze data to create critical reports that ... Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to ...

Data Analysis and Reporting: Process, validate, and analyze data to create critical reports that ... Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to ...

Actuarial Analyst I

Montreal, QC ยท On-site

CA$90/hr

Data & Analytics Pay Details: 68 000 $/$68,000 - 90 000 $/$90,000 CAD TD is committed to providing ... Proficiency in programing or using analytical tools (R, Python, SQL, VBA, etc.) Who We Are: As part ...

Ability to use various tools and programming languages (e.g., Python, SQL, Bash) to integrate ... Experience with data quality, integrity, cleansing, and transportation processes.

Data Engineer

Montreal, QC ยท On-site +1

CA$80 - CA$85/hr

... analytics practice to the next level. They are looking for a motivated person who thrives in a ... SQL Python Understands and puts into practice data modeling, design and development of solid ETL ...

Senior SQL Developer

Montreal, QC ยท Remote

$95K - $110K/yr

You Have: * 7+ years experience working with MS - SQL data development * Strong experience with ... Bonus points if you have experience with Python and Pyspark * A B.Sc. or equivalent work experience ...

Senior SQL Developer

Montreal, QC ยท Remote

$95K - $110K/yr

You Have: * 7+ years experience working with MS - SQL data development * Strong experience with ... Bonus points if you have experience with Python and Pyspark * A B.Sc. or equivalent work experience ...

Showing results 21-40

Data Analyst Python Sql information

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Montreal, QC look for? The top searched job categories for Data Analyst Python Sql jobs in Montreal, QC are:
Infographic showing various Data Analyst Python Sql job openings in Montreal, QC as of June 2026, with employment types broken down into 85% Full Time, 7% Part Time, 2% Temporary, 3% Contract, and 3% Nights. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Chief Analyst, Capital Transformation

National Bank

Laval, QC โ€ข On-site, Remote

Full-time

Medical, Retirement

Posted 4 days ago


Job description

A career as a Chief Analyst, Transformation, Capital Insights in the Capital Analysis team at National Bank means acting as a process transformation and regulatory capital analytics specialist. This position allows you to have a concrete impact on the Bank's capital management capabilities thanks to your expertise in finance, data and technology.


Your job

  • Support partners in the Finance, Risk, Treasury, Technology and business lines sectors in initiatives related to regulatory capital and process transformation.
  • Lead modernisation initiatives aimed at automating, simplifying and optimising regulatory capital metrics production processes.
  • Design and deploy analytical and technological solutions to improve data quality, operational efficiency and the robustness of controls.
  • Analyze regulatory ratios and assess the financial, operational and strategic impacts of the Bank's projects and initiatives.
  • Develop dashboards, management indicators and decision-making tools to promote proactive capital management.
  • Influence the sector's orientations by sharing your expertise and contributing to the development of the team's practises, technologies and skills.

Your team
You are part of the Capital Analysis team in the Finance sector and report to the Senior Manager. Our team stands out for its expertise at the intersection of finance, regulations, data and technology. We contribute to the production and analysis of regulatory capital metrics while supporting strategic initiatives that shape the future of our analytical and operational capabilities. Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites

  • A bachelorโ€™s degree in a relevant field and at least 8 years of relevant experience, or a masterโ€™s degree and at least 6 years of relevant experience.
  • Significant experience in the financial, banking or regulatory sectors
  • Experience in process transformation, automation or continuous improvement.
  • Proficiency in data analysis and programming tools such as Python, SQL, SAS, Snowflake, VBA or equivalent technologies.
  • Experience with visualisation and analytics platforms such as Power BI, Tableau or comparable tools.
  • Solid knowledge of regulatory capital, balance sheet management or financial risks
Your benefits In addition to competitive compensation, youโ€™ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options * Group insurance * Generous pension plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employeesโ€™ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.
Making a bold move in a people-first environment We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people's lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!