1

Data Analyst Data Scientist Jobs in Quebec (NOW HIRING)

Data Analyst

Montreal, QC ยท On-site +1

CA$64K - CA$69K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and ... scientific research, introducing clean alternatives, carrying out peaceful acts of civil ...

Analyst, Data valorization

Levis, QC ยท On-site +1

  • Medical

  • Retirement

  • PTO

As a data analyst, you collect, process, analyze and use data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions.

Data Analyst

Montreal, QC ยท On-site

CA$64K - CA$69K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and ... scientific research, introducing clean alternatives, carrying out peaceful acts of civil ...

Data Scientist

Montreal, QC ยท On-site

  • Medical

  • Dental

  • Vision

Data Scientist Location: Onsite - Montreal Who we are: Valnet looking for a Data Scientist to join our Tech team. In this role, you will design and deploy AI systems that improve how a large-scale ...

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience. * Advanced experience using analytics ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Senior Data Scientist

Montreal, QC ยท Hybrid

  • Medical

  • Retirement

Your job Develop analytical models to support regulatory oversight of investments in the wealth ... other Senior Data Scientists. Our team stands out for its innovation, agility and in-depth ...

Senior Data Scientist

Montreal, QC ยท On-site

  • Medical

  • Retirement

Develop analytical models to support regulatory oversight of investments in the wealth Management ... other Senior Data Scientists. Our team stands out for its innovation, agility and in-depth ...

Senior data scientist

Montreal, QC ยท On-site

  • Medical

  • Retirement

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a ...

Senior data scientist

Montreal, QC ยท On-site +1

  • Medical

  • Retirement

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a ...

Senior data scientist

Laval, QC ยท On-site +1

  • Medical

  • Retirement

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a ...

Senior data scientist

Longueuil, QC ยท On-site +1

  • Medical

  • Retirement

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a ...

Senior data scientist

Montreal, QC ยท On-site +1

  • Medical

  • Retirement

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a ...

Data Scientist II

Montreal, QC ยท On-site

  • Life

  • Retirement

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Showing results 21-40

Data Analyst Data Scientist information

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Quebec?

For Data Analyst Data Scientist jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Quebec look for?

The top searched job categories for Data Analyst Data Scientist jobs in Quebec are:

What cities in Quebec are hiring for Data Analyst Data Scientist jobs?

Cities in Quebec with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

GreenPeace

Montreal, QC โ€ข On-site, Remote

CA$64K - CA$69K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago


Job description

Job Vacancy: Data Analyst

Location: Anywhere in Canada (Hybrid and Remote)

Reports to: Head of Insights and Engagement Systems

Details: Full-Time, permanent position, unionized, four day work week, Monday to Thursday, 28 hours/week.

Salary: $64,643 - $69,918 CAD per year. This amount will be prorated for partial years of service.

Closing date for applicants: August 28, 2026


ABOUT GREENPEACE CANADA:

Greenpeace Canada is an independently funded, non-profit organization that works towards a greener, more peaceful world, and to confront the systems that threaten people and the planet. We challenge government and industry to halt harmful practices by negotiating solutions, conducting scientific research, introducing clean alternatives, carrying out peaceful acts of civil disobedience and engaging the public. To maintain independence Greenpeace does not accept donations from corporations or governments. Greenpeace relies on individual donors and creative partnerships to fund our environmental justice campaigns.


As an organization, Greenpeace Canada recognizes and supports Indigenous sovereignty and the Land Back movement. We support the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) and are committed to collaboration and consultation with Indigenous Peoples to ensure our campaigns and positions respect Indigenous rights and liberation.
Greenpeace Canada is committed to a workplace that is enriched by the people, needs and desires of Canada's diverse communities. We seek candidates with a variety of perspectives and lived experiences to effect change and will prioritize applicants from racialized and other equity-seeking groups.

The responsibilities and skills for this role are outlined below. Greenpeace Canada fully recognizes lived experiences, unpaid credentials, as well as education and work experiences from outside of Canada. If you are interested in this role but feel you do not have all the requirements listed for this position, we highly encourage you to still apply!


ABOUT THE ROLE:

As a member of the Fundraising team and working closely with the Program team, the Data Analyst collects, manages, and analyzes data to achieve fundraising and engagement goals and supports Greenpeace's vision of achieving greater integration of systems and tools across the organization.

Reporting to the Head of Engagement Systems and Insights, the Data Analyst oversees the consistency and integrity of data and performance metrics, monitors and reports on key performance indicators, leads data-related projects, contributes to improving processes or workflows and provides back up on data administration as needed. Working with Greenpeace's data platform and other technical roles across the wider Greenpeace network, the analyst takes available and custom data sources and models and uses them to develop dashboards to sharpen judgment, decision-making, innovation and impact, transforming data into actionable insights for staff.


MAJOR RESPONSIBILITIES

Data architecture and integration

  • Fundraising channels integration: Streamline the data pipelines transferring information to and from external fundraising vendors and channels (telemarketing, digital advertising, lead generation, etc.), ensuring data integrity.
  • Workflow automation: In collaboration with the Data Administrator, map out and maintain automated integrations using iPaaS tools (e.g., Workato, Omatic, Brightvine) to eliminate manual integration.
  • Strategic data capture: Identify gaps in current tracking and collaborate with teams to implement robust data capture methods across all acquisition touchpoints.
  • Data management: Work with the organization's modelled data and semantic layer in the cloud data warehouse (Google BigQuery).
  • Project leadership: Lead data-focused infrastructure projects aimed at improving audience segmentation, pipeline efficiency, and overall fundraising performance.


Dashboards and analysis

  • Dashboard development: Design, build, document and maintain interactive, user-friendly dashboards and BI reports that give fundraising and program teams visibility into their KPIs.
  • Multi-Channel reporting: Aggregate and analyze performance data across fundraising streams (e.g. telemarketing, paid media, lead generation) and engagement platforms. Translate complex data sources into clear, actionable insights to optimize campaign ROI and retention.
  • Strategic decision support: Conduct deep-dive analyses, train teams and present data-backed recommendations to inform both immediate campaign tweaks and long-term fundraising strategies.
  • KPIs: Help standardize, build and maintain the consistency of fundraising, lead generation and engagement metrics to ensure everyone is measuring impact the same way.
  • Audience segmentation & behavior: Build advanced donor and prospect segmentation profiles to track behavioral trends, retention rate, enabling highly-targeted, personalized campaigns across digital ads, telemarketing, email marketing and lead generation.
  • Ad-hoc analysis: Provide analytical support to teams evaluating opportunities or campaigns.

Data operations and documentation

  • Mentorship: Mentor and train team members on data systems and projects.
  • Documentation and process development: Collaborate closely with team members to establish effective processes for new data flows and to optimise processes. Participate in documentation efforts for all data-related projects.
  • Support: Perform other tasks as assigned and provide data administration back-up as needed.


EXPERIENCE AND SKILL REQUIREMENTS

  • Minimum 3 years' experience in a similar role, with experience in complex data work and associated technologies (complex meaning either: large data volume, wide data type variety, velocity of data, or managing automated data pipelines/workflows).
  • Knowledge and/or experience in data analysis using SQL (essential), and ideally also Python.
  • Knowledge and/or experience of Business Intelligence and dashboarding tools (e.g. Looker Studio, Hex, Tableau or Power BI).
  • Comfort working with a modern cloud data platform (ideally Google BigQuery, or AWS, etc) and a shared/standardized data model (such as an Enterprise Data Model). Experience with data architecture and modelling (ELT, dbt) is an asset.
  • Knowledge and/or experience in integration design using iPaaS tools (e.g. Workato, Brightvine, Omatic).
  • Knowledge and/or experience of Customer Relationships Management such as HubSpot, Raiser's Edge or Salesforce.
  • Knowledge and/or experience of UTMs and web analytics.
  • Knowledge and/or experience in fundraising and/or lead generation.
  • Knowledge and/or experience in data analysis and statistical methods.
  • Meticulous attention to detail.
  • A logical approach to work.
  • Ability to prioritize tasks and meet deadlines.
  • Analytical and problem-solving skills.
  • Strong presentation and communication skills.
  • A team player with a strong customer service focus.
  • Fluency in written and spoken English (French fluency is an asset).


DECISION MAKING REQUIREMENTS

The role is responsible for developing processes, identifying and meeting analysis needs within the organization, including for senior management.


SUPERVISORY AND FINANCIAL RESPONSIBILITIES:

  • The position does not exercise direct staff supervisory responsibility.
  • The position has no authority to approve expenditure.
  • The position handles highly confidential supporter information.


BENEFITS:

Greenpeace Canada offers a competitive and values-driven benefits package, designed to support staff well-being and work-life balance: At Greenpeace Canada, we believe people thrive when they are supported, valued, and inspired. Our benefits reflect our deep commitment to care, balance, and collective well-being:

  • Four-Day Work Week - Enjoy a 28-hour work week with full-time pay and benefits, giving you more time to recharge and live your values outside of work.
  • Generous Paid Leave - From vacation and personal days to additional leave options, we prioritize rest, balance, and care for yourself and your loved ones
  • Comprehensive Health Coverage - Robust medical, dental, and vision plans that support your overall health and extend to your family.
  • Growth & Learning Opportunities - Access to ongoing professional development, learning, and skill-building to help you grow in your role and beyond.
  • Values-Driven Culture - Join a compassionate, equity-centered workplace rooted in collaboration, inclusion, and a shared mission to create a more just and sustainable world driven organization committed to equity, inclusion, care, and collective impact.


WORKING CONDITIONS

  • Must be legally authorized and entitled to work in Canada.
  • Comfortable working with colleagues remotely or in a hybrid work environment with the ability to collaborate effectively across multiple international locations.
  • May require extended and irregular hours at times to meet organizational needs.
  • Includes limited domestic and international travel.
  • Physical Effort Requirements - Standard remote office work, involving extended periods of computer use, requiring sustained attention to detail.


Candidates should demonstrate an understanding of, and alignment with, Greenpeace's campaign approaches, including the strategic use of peaceful civil disobedience as a means of achieving environmental and social justice.


APPLICATION PROCESS:

Greenpeace Canada is committed to a recruitment and selection process that upholds Justice, Equity, Diversity, Inclusion, and Safety (JEDIS). We strongly encourage applications from equity-seeking groups, including but not limited to Indigenous, Black, racialized, disabled, and 2SLGBTQIA+ candidates, as well as people with diverse lived experiences and non-traditional career paths. We also welcome applicants who may not meet every listed requirement, recognizing that transferable skills and varied experiences strengthen our team.

We will provide accommodations to applicants with disabilities or other needs at any stage of the hiring process. If you require accommodation or assistance to apply, please email crecruit@greenpeace.org in advance.